|
AstraZeneca ltd
protacs Protacs, supplied by AstraZeneca ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/protacs/pm37120680-207-13-7 Average 90 stars, based on 1 article reviews
protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
AstraZeneca ltd
protacs tm 60 Protacs Tm 60, supplied by AstraZeneca ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/protacs+tm+60/pmc08985178-291-8-0 Average 90 stars, based on 1 article reviews
protacs tm 60 - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
Bayer AG
protacs ![]() Protacs, supplied by Bayer AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/protacs/pmc09933238-298-1-5 Average 90 stars, based on 1 article reviews
protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
Verlag GmbH
er-targeting protacs ![]() Er Targeting Protacs, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/er+targeting+protacs/10__1002_slash_cmdc__201000146-156-31-22 Average 90 stars, based on 1 article reviews
er-targeting protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
CEM Corporation
nef protacs ![]() Nef Protacs, supplied by CEM Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/nef+protacs/bio_rxiv__2023__08__14__553289-93-6-25 Average 90 stars, based on 1 article reviews
nef protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
Accutar Biotechnology Inc
er-protacs based of 4oht ![]() Er Protacs Based Of 4oht, supplied by Accutar Biotechnology Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/er+protacs+based+of+4oht/pm36148710-68-8-2 Average 90 stars, based on 1 article reviews
er-protacs based of 4oht - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
CEM Corporation
protacs ![]() Protacs, supplied by CEM Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/protacs/pm38508197-117-28-7 Average 90 stars, based on 1 article reviews
protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
MITACS Inc
proteolysis protein chimeras (protacs) targeting nsd2 degradation ![]() Proteolysis Protein Chimeras (Protacs) Targeting Nsd2 Degradation, supplied by MITACS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/proteolysis+protein+chimeras++protacs++targeting+nsd2+degradation/pmc11092389-670-62-90 Average 90 stars, based on 1 article reviews
proteolysis protein chimeras (protacs) targeting nsd2 degradation - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
Chemie GmbH
protacs ![]() Protacs, supplied by Chemie GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/protacs/us12128106-26-10-16 Average 90 stars, based on 1 article reviews
protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
AstraZeneca ltd
crbn-targeted protacs ![]() Crbn Targeted Protacs, supplied by AstraZeneca ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/crbn+targeted+protacs/pmc09879287-170-33-16 Average 90 stars, based on 1 article reviews
crbn-targeted protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
Genentech inc
protacs ![]() Protacs, supplied by Genentech inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/protacs/pmc09178337-1486-3-9 Average 90 stars, based on 1 article reviews
protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
|
Promega
brd7/9 protacs ![]() Brd7/9 Protacs, supplied by Promega, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/protacs/protacs/pmc09528729-546-18-7 Average 90 stars, based on 1 article reviews
brd7/9 protacs - by Bioz Stars,
2026-10
90/100 stars
|
Buy from Supplier |
Image Search Results
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: PROTAC datasets and their characterization. (A) Overview of the structural composition of the PROTACs in the VHL ( n = 115) and CRBN ( n = 113) sets. (B) Distribution of the molecular descriptors of Lipinski’s and Veber’s guidelines for the two sets. Box plots show the 50 th percentiles as horizontal bars, the 25 th and 75 th percentiles as boxes, and the 25 th percentile minus 1.5 × the interquartile range and the 75 th percentile plus 1.5 × the interquartile range as whiskers. Outliers are shown both as red dots and as circles in the color of the appropriate descriptor. (C) Score plots of the first two principal components from principal component analyses (PCAs), which describe 71.5% of the variance for the VHL set and 74.9% of the variance for CRBN. The PCAs were based on the 17 descriptors calculated for each PROTAC, which were subsequently used for construction of the permeability models (cf. Figure A). Ellipses in green, yellow, and red shading show the 95% confidence intervals for highly, moderately, and lowly permeable compounds, respectively. The centroid of each permeability class is indicated with a large circle in the color of the respective class. The contributions of individual descriptors to the PCAs are indicated by arrows.
Article Snippet: All
Techniques: Permeability
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: (A) Principal component analysis comparing the chemical space of PROTACs in the public domain (red and cyan circles) to our in-house set (green circles). Public PROTACs that are within the applicability domain of the in-house set are in red, while those outside are in cyan. The centroids for each set are indicated with a large circle in the color of the respective set. (B) Examples of molecular structures of two PROTACs that reside outside the chemical space of the in-house set. The descriptors of the Lipinski and Veber guidelines are given below the structure of each PROTAC.
Article Snippet: All
Techniques:
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Cohen’s kappa statistics for internal test set validation of different BCMs for three permeability scenarios of (A) CRBN and (B) VHL PROTACs. Box plots show the kappa values from 25 random seedlings, while the yellow circles show the kappa values from 10-fold cross validation. In the box plots, the 50 th percentiles are marked as horizontal bars, the 25 th and 75 th percentiles as boxes, and the 25 th percentile minus 1.5 × the interquartile range and the 75 th percentile plus 1.5 × the interquartile range as whiskers. Outliers are shown both as black dots and as circles in the color of the method used to build the model. DT: decision tree, kNN: kappa nearest neighbor, RF: random forest, and SVM: support vector machine. Classification models can be assessed using the following cut-offs for Cohen’s kappa: κ < 0: no agreement, 0–0.19: poor agreement, 0.20–0.39: fair agreement, 0.40–0.59: moderate agreement, and 0.60–0.79 and 0.80–1.00: substantial to perfect agreement.
Article Snippet: All
Techniques: Biomarker Discovery, Permeability, Plasmid Preparation
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Probability distribution of true predictions for the random forest models built using the original VHL dataset. PROTACs having a probability smaller or larger than 0.5 were correctly classified as having low (orange) or high (green) permeability, respectively. A probability of 0.9–1.0 indicates that the compound was predicted to have a high permeability with >90% probability. Similarly, a probability of 0–0.1 indicates that the compound was predicted to have a low permeability with >90% probability.
Article Snippet: All
Techniques: Permeability
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Number of compounds in the training sets of PROTACs used to construct BCMs (original and retrained set) and the datasets used as blinded test sets for validation of the models (blinded test sets 1 and 2). For each dataset, the distribution of compounds between VHL and CRBN PROTACs, as well as by permeability class, is given.
Article Snippet: All
Techniques: Construct, Biomarker Discovery, Permeability
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Cohen’s kappa coefficient for prediction of the permeability of the VHL and CRBN PROTACs in the blinded test set 1. The kappa coefficient is given for the three permeability scenarios for models constructed using the DT, kNN, and RF methods based on the original dataset and its SMOTE versions. Kappa coefficients have been color-coded using red-orange-yellow-green for values ranging from −0.3 to 0.7.
Article Snippet: All
Techniques: Permeability, Construct
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Cohen’s kappa statistics for internal validation of different retrained BCMs for three permeability scenarios of (A) CRBN and (B) VHL PROTACs in the retrained set. Box plots show the kappa values from 25 random seedlings, while the yellow circles show the kappa values from 10-fold cross validation. In the box plots, the 50 th percentiles are marked as horizontal bars, the 25 th and 75 th percentiles as boxes, and the 25 th percentile minus 1.5 × the interquartile range and the 75 th percentile plus 1.5 × the interquartile range as whiskers. Outliers are shown both as black dots and as circles in the color of the method used to build the model. DT: decision tree, kNN: kappa nearest neighbor, and RF: random forest. Classification models can be assessed using the following cut-offs for Cohen’s kappa: k < 0: no agreement, 0–0.19: poor agreement, 0.20–0.39: fair agreement, 0.40–0.59: moderate agreement, and 0.60–0.79 and 0.80–1.00: substantial to perfect agreement.
Article Snippet: All
Techniques: Biomarker Discovery, Permeability
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Cohen’s kappa coefficient for prediction of the permeability of the VHL PROTACs in the blinded test set 2 using models constructed with the (A) original training set and the (B) retraining set. The kappa coefficient is given for the three permeability scenarios for models constructed using the DT, kNN, and RF methods. Kappa coefficients have been color-coded using red-orange-yellow-green for values ranging from −0.30 to 0.70.
Article Snippet: All
Techniques: Permeability, Construct
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Contribution of the descriptors to the retrained RF models for prediction of the permeability of VHL PROTACs. The figure shows the mean values of the weight of each descriptor for permeability scenarios 1–3, with error bars indicating ± standard deviation. The weight of the contribution of each descriptor to the model was obtained from the 10-fold cross validation. The descriptors that contribute most to the model are indicated by the blue shading at a weight of ≥0.4. Color code: violet: countable descriptors, pink: chemical functionalities descriptors, and green: size and shape descriptors. Descriptor contributions for the individual models for scenarios 1–3 can be found in the Supporting Information, Figure S10B .
Article Snippet: All
Techniques: Permeability, Standard Deviation, Biomarker Discovery
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Distribution of the molecular descriptors of Lipinski’s and Veber’s guidelines for the linker part ( n = 129) of the VHL PROTACs in the combined training set and blinded test set 1 ( n = 253). Distributions have been calculated for the linkers of the PROTACS in each of the three permeability classes. Box plots show the 50 th percentiles as horizontal bars, the 25 th and 75 th percentiles as boxes, and the 25 th percentile minus 1.5 × the interquartile range and the 75 th percentile plus 1.5 × the interquartile range as whiskers. Outliers are shown both as black dots. Statistical analysis was performed using Wilcoxon’s non-parametric test.
Article Snippet: All
Techniques: Permeability
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Number of PROTACs Used for Data Analysis, Model Building, and Validation
Article Snippet: All
Techniques:
Journal: ACS Omega
Article Title: Predictive Modeling of PROTAC Cell Permeability with Machine Learning
doi: 10.1021/acsomega.2c07717
Figure Lengend Snippet: Overview of Purities of the PROTACs Included in the Training and Tests Sets
Article Snippet: All
Techniques: Standard Deviation
Journal: bioRxiv
Article Title: PROTAC-mediated Degradation of HIV-1 Nef Efficiently Restores Cell-surface CD4 and MHC-I Expression and Blocks HIV-1 Replication
doi: 10.1101/2023.08.14.553289
Figure Lengend Snippet: The Cereblon (CRBN) ubiquitin E3 ligase complex ( left ) is a large multiprotein structure composed of RING-box protein 1 (RBX1), Cullin4 (CUL4), DNA damage binding protein 1 (DDB1), CRBN and an E2 subunit conjugated to ubiquitin (Ub). Heterobifunctional Nef PROTACs promote formation of a ternary complex between the HIV-1 Nef protein using existing hydroxypyrazole Nef-binding compounds ( red ) and the CRBN E3 complex via a CRBN ligand (exemplified by thalidomide, green). Ternary complex formation induces polyubiquitination of Nef and subsequent proteasomal degradation. The Nef PROTAC shown is analog FC-13182 ; favored positions for linker attachment on the Nef-binding moiety are indicated by the short black arrows .
Article Snippet: These results provide evidence that active
Techniques: Ubiquitin Proteomics, Binding Assay
Journal: bioRxiv
Article Title: PROTAC-mediated Degradation of HIV-1 Nef Efficiently Restores Cell-surface CD4 and MHC-I Expression and Blocks HIV-1 Replication
doi: 10.1101/2023.08.14.553289
Figure Lengend Snippet: A) Assay principle. Nef is fused to nano-Luciferase (Nef-nLuc) and co-expressed with a ubiquitin-Halo tag fusion protein (Ub-Halo) in 293T cells. PROTACs promote ligation of Ub-Halo to Nef-nLuc, which is detected by bioluminescence resonance energy transfer (BRET) to the Halo Tag. B) Assessment of candidate Nef PROTACs in the NanoBRET assay. Each compound was assayed in quadruplicate and the average 618 nm to 460 nm fluorescence ratios (BRET signal for Ub incorporation normalized to Nef-nLuc levels) were normalized to the DMSO control and are presented as z-scores ± SD (error bars smaller than data points). PROTACs with z-scores ≥ 1.5 (numbered red points) along with analog FC-13887 were advanced to orthogonal assays for Nef degradation and inhibition of Nef function. z-score = (x - µ)/σ, where x = each individual value, µ = mean value, and σ = the standard deviation.
Article Snippet: These results provide evidence that active
Techniques: Luciferase, Ubiquitin Proteomics, Ligation, Bioluminescence Resonance Energy Transfer, Fluorescence, Control, Inhibition, Standard Deviation
Journal: bioRxiv
Article Title: PROTAC-mediated Degradation of HIV-1 Nef Efficiently Restores Cell-surface CD4 and MHC-I Expression and Blocks HIV-1 Replication
doi: 10.1101/2023.08.14.553289
Figure Lengend Snippet: The human T cell line CEM-T4 was engineered to express a Nef-eGFP fusion protein under the control of a doxycycline (Dox) inducible promoter. In the absence of Dox, these cells express endogenous CD4 and MHC-I on their surface; addition of Dox induces Nef-eGFP expression which leads to receptor downregulation. A) Representative flow cytometry result with Nef PROTAC FC-14369 and cell surface CD4 staining. B) Active Nef PROTACs from the NanoBRET ubiquitination assay were screened for cell surface receptor rescue in triplicate. Bar height indicates the mean value ± SE; individual data points are also shown. The structures of the analogs with little to no activity in this assay ( FC-13890, FC-14373, FC-14379, FC-14388 ) are shown in the Supplemental Information, Figure S1.
Article Snippet: These results provide evidence that active
Techniques: Control, Expressing, Flow Cytometry, Staining, Ubiquitin Proteomics, Cell Surface Receptor Assay, Activity Assay
Journal: bioRxiv
Article Title: PROTAC-mediated Degradation of HIV-1 Nef Efficiently Restores Cell-surface CD4 and MHC-I Expression and Blocks HIV-1 Replication
doi: 10.1101/2023.08.14.553289
Figure Lengend Snippet: A) Flow cytometry of Nef-eGFP protein loss. CEM/Nef-eGFP cells were treated with doxycycline to induce expression of Nef-eGFP under conditions that result in a moderate level of positive cells by flow cytometry (see Figure 3A). Triplicate cultures of cells were treated with the Nef PROTAC analogs indicated at a final concentration of 3 µM, and 24 h later the percent of cells showing loss of Nef-eGFP protein expression were calculated relative to the DMSO controls and are presented as the mean value ± SE; individual data points are also shown. B) Correlation analysis of cell-surface CD4 rescue vs. Nef-eGFP protein loss (red data points, left) and MHC-I rescue vs. Nef-eGFP protein loss (blue data points, right). CD4 rescue was best-fit by linear regression, while MHC-I rescue showed a plateau effect. C) Immunoblot analysis. Cells expressing Nef-eGFP were treated as in part A with the eight active PROTACs, and lysates were prepared 48 h later for immunoblot analysis with Nef and Actin antibodies. A representative blot is shown. D) Immunoblot analysis was performed in duplicate, and band intensities were quantified by LI-COR infrared imaging and used to calculate Nef to Actin protein expression ratios. The bar graph shows the mean value for each ratio along with the individual values. The structures of the analogs with little to no activity in this assay ( FC-13890, FC-14373, FC-14379, FC-14388 ) are shown in the Supplemental Information, Figure S1.
Article Snippet: These results provide evidence that active
Techniques: Flow Cytometry, Expressing, Concentration Assay, Western Blot, Imaging, Activity Assay
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: Chemical structures of representative NSD2 inhibitors and degraders 10–16.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques:
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: The biological functions of NSD2 and underlying mechanisms.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques:
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: Overview of various cancers associated with NSD lysine methyltransferases (KMTases) dysregulation.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques: Migration, Mutagenesis, Activity Assay, Transformation Assay, Expressing, DNA Synthesis
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: Crystal structure of compound 50 (MR837) in complex with NSD2-PWWP1 domain (PDB ID: 6UE6). Hydrogen bonds formed between 50 and the key residues in the NSD2-PWWP1 domain are highlighted by red dashed lines. Compound 50 is shown as yellow sticks. Key residues ALA-270, TYR-233, TRP-236, PHE-266, and VAL-230 in the NSD2-PWWP1 domain are shown as green sticks.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques:
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: (a) SAM crystal structure in complex with NSD2-SET domain (PDB ID: 5LSU). SAM is shown as cyan sticks; (b) Crystal structure of DNA in complex with NSD2-PWWP1 domain (PDB ID: 5VC8). The key residues LYS-304, LYS-309, and LYS-312 in NSD2-PWWP1 domain that form direct electrostatic interactions with the DNA phosphate backbone are shown as cyan sticks; and (c) The structures of three NSD2 isoforms (NSD2-long, NSD2-short, and RE-IIBP) that are composed of multiple domains, including PWWP domain, PHD domain, SET domain (AWS/pre-SET, SET, and post-SET), etc.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques:
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: (a) Crystal structure of compound 51 (MRT866) in complex with NSD2-PWWP1 domain (PDB ID: 7MDN). Red dash lines highlight the hydrogen bonds between compound 51 and the key residues in NSD2-PWWP1 domain. Compound 51 is shown as yellow sticks. Key residues ALA-270, GLN-321, TYR-233, TRP-236, and PHE-266 in the NSD2-PWWP1 domain are shown as green sticks. (b) Crystal structure of compound 14 (UNC6934) in complex with NSD2-PWWP1 domain (PDB ID: 6XCG). Red dash lines highlight the hydrogen bonds formed between compound 14 and the key residues in NSD2-PWWP1 domain. Compound 14 is shown as yellow sticks. Key residues ALA-270, GLN-321, TYR-233, ARG-273, TRP-236, and PHE-266 in the NSD2-PWWP1 domain are shown as green sticks.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques:
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: Crystal structure of compound 54 in complex with NSD2-PWWP1 domain (PDB ID: 7VLN). Hydrogen bonds formed between compound 54 and the key residues in the NSD2-PWWP1 domain are highlighted by red dashed lines. Compound 54 is shown as yellow sticks. Key residues ALA-270, ASP-269, TYR-233, GLU-291, and GLU-272 in the NSD2-PWWP1 domain are shown as green sticks.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques:
Journal: Journal of medicinal chemistry
Article Title: Drug Discovery Targeting Nuclear Receptor Binding SET Domain Protein 2 (NSD2)
doi: 10.1021/acs.jmedchem.3c00948
Figure Lengend Snippet: Crystal structure of compound 14 (UNC6934) in complex with NSD2-PWWP1 domain (PDB ID: 6XCG). Compound 14 is shown as green sticks, and the red dashed circle highlights the pyrimidine ring that points into the solvent-exposed region.
Article Snippet: Both NSD2 and its target gene HDAC2 were revealed to activate the NF-κB signaling pathway inducing the occurrence and progression of inflammation by promoting the release of proinflammatory cytokines.204 Meanwhile, NSD2 can modulate the envelope protein (protein E) of SARS-CoV2 via interactions with BRD4, suggesting that NSD2 may play an important role in the progression of SARS-CoV2.204 Proteolysis protein chimeras (PROTACs) targeting
Techniques: Solvent
Journal: Current research in chemical biology
Article Title: Discovery of a potent BTK and IKZF1/3 triple degrader through reversible covalent BTK PROTAC development
doi: 10.1016/j.crchbi.2022.100029
Figure Lengend Snippet: Poseltinib-based reversible covalent BTK PROTACs cannot induce BTK degradation in cells. a-e . Mino cells were treated with indicated compounds at 0, 1.6, 8, 40, 200, and 1000 nM for 24 h, followed by Western blotting for BTK. PS-RC-1, PS-RC-2, PS-RC-3, and PS-RC-4 are poseltinib-based reversible covalent BTK PROTACs. DD-03-171 is a BTK degrader developed by the Gray group and used as a positive control. f . HEK-293T cells stably expressing a BTK-nLuc fusion protein were treated with indicated compounds (same as in a-e ) for 24 h. The BTK degradation was determined by evaluating luminescence signals of NanoLuc. The DC 50 (concentration of PROTACs required to achieve 50% degradation of the target protein) and D max (maximum level of target protein can be degraded by PROTACs) values obtained through this assay are listed in .
Article Snippet: Pike et al. analyzed the oral bioavailability of PROTACs across a diverse set of projects at
Techniques: Western Blot, Positive Control, Stable Transfection, Expressing, Concentration Assay
Journal: Current research in chemical biology
Article Title: Discovery of a potent BTK and IKZF1/3 triple degrader through reversible covalent BTK PROTAC development
doi: 10.1016/j.crchbi.2022.100029
Figure Lengend Snippet: Degradation of BTK induced by reversible covalent BTK PROTACs.
Article Snippet: Pike et al. analyzed the oral bioavailability of PROTACs across a diverse set of projects at
Techniques: Binding Assay
Journal: Current research in chemical biology
Article Title: Discovery of a potent BTK and IKZF1/3 triple degrader through reversible covalent BTK PROTAC development
doi: 10.1016/j.crchbi.2022.100029
Figure Lengend Snippet: Toxicities of poseltinib-based BTK PROTACs in cells and their binding affinities to BTK. a-b . MOLM14 and Mino cells were treated with serially diluted poseltinib and PS-RC-1 to PS-RC-4 for 72 h, followed by Alarma Blue assay to quantify the cell viabilities. c . Three MCL cell lines, including Mino, Jeko-1, and Rec-R cells, were treated with serially diluted PS-RC-1 for 72 h, followed by Alarma Blue assay to quantify the cell viabilities. d . TR-FRET based binding kinetics assay between poseltinib and BTK. Serial dilutions of poseltinib mixed with 2 nM of His-BTK, 0.3 nM Tb-anti-His, and 150 nM of BTK-BODIPY tracer. e. BTK binding affinity assays for poseltinib-based PROTACs (PS-RC-1 to PS-RC-4), following the same protocol as described in d . After 2 h incubation, TR-FRET signals were measured. The IC 50 values were listed in f . PS-RC-1 serves as a molecular glue to inhibit growth in Mino cells. Mino cells were pre-treated with a large excess of PS-RC-Ctrl (2 μM or 10 μM), followed by PS-RC-1 incubation for 72 h. The cell viabilities were quantified using an Alarma Blue assay. For cell viability assays, data represent mean ± SD (n = 3) and the IC 50 values are defined as compound concentrations that reduce cell viabilities by 50%. For BTK binding assays, data represent mean ± SD (n = 3) and the IC 50 values are defined as compound concentrations that reduce tracer binding by 50%. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Article Snippet: Pike et al. analyzed the oral bioavailability of PROTACs across a diverse set of projects at
Techniques: Binding Assay, Incubation
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The researches on PROTAC from 2001 to 2021. a The publications on PROTACs from 2001 to 2021. b The structure of ARV-110 and ARV-471 . c The comparison of PROTAC targets on different diseases between 2001–2019 and 2001–2021. d Classification and percentage of degradable kinases
Article Snippet: Fig. 82 The
Techniques: Comparison
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting AR
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting BRAF and BRAF V600E
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting EGFR
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The summary and comparison of PROTACs targeting EGFR
Article Snippet: Fig. 82 The
Techniques: Comparison
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting eIF4E
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting ER
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting BRD
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting IGF-1R and Src
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting KRAS G12C
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting MEK
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting p38
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting PDEδ
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting SHP2
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting PARP1
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting AKT
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting ALK
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting Bcl-xl
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The summary and comparison of PROTACs targeting Bcl-xl
Article Snippet: Fig. 82 The
Techniques: Comparison
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting BCR-ABL
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The summary and comparison of PROTACs targeting BCR-ABL
Article Snippet: Fig. 82 The
Techniques: Comparison
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting FAK
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting MDM2
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting FLT3
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting JAK
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The summary and comparison of PROTACs targeting BRD
Article Snippet: Fig. 82 The
Techniques: Comparison
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting HDAC
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting PRC2 (EZH2, EED)
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting WDR5
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting Aurora A
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting CDK2
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting CDK2/4/6
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting CDK9
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting CDK12
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting CRBN
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting BTK
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The summary and comparison of PROTACs targeting BTK
Article Snippet: Fig. 82 The
Techniques: Comparison
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting PD-L1
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting SMARCA2/4
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting pan-coronavirus antiviral
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting SARS-CoV-2
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting HDAC3
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting H-PGDS
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting IRAK4
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting neurodegenerative diseases
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs targeting Cas protein, HMGCR and VEGFR2
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs of antibody-PROTAC
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs of aptamer-PROTAC conjugates
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTAC of dual-target PROTACs
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs of Folate-Caged PROTACs
Article Snippet: Fig. 82 The
Techniques:
Journal: Signal Transduction and Targeted Therapy
Article Title: PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
doi: 10.1038/s41392-022-00999-9
Figure Lengend Snippet: The representative PROTACs of TF-PROTACS
Article Snippet: Fig. 82 The
Techniques: