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drug library screening  (TargetMol)


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    TargetMol drug library screening
    Drug Library Screening, supplied by TargetMol, used in various techniques. Bioz Stars score: 94/100, based on 55 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/drug library screening/product/TargetMol
    Average 94 stars, based on 55 article reviews
    drug library screening - by Bioz Stars, 2026-03
    94/100 stars

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    (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in <t>silico</t> <t>drug</t> <t>screening</t> pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.
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    (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in <t>silico</t> <t>drug</t> <t>screening</t> pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.
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    Image Search Results


    (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in silico drug screening pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.

    Journal: bioRxiv

    Article Title: Unified modeling of cellular responses to diverse perturbation types

    doi: 10.1101/2025.11.13.688367

    Figure Lengend Snippet: (A) UMAP visualization of test perturbations predicted by X-Pert, where each point represents a pseudo-bulk cell derived from a specific chemical perturbation in a cell line. Points are colored by cell line. (B) UMAP visualization of all A549 samples, colored by sequencing plate and count of all genes, respectively, highlighting potential batch effects. (C) Schematic illustration of the in silico drug screening pipeline. (D) Scatter plots showing the top-ranked candidate drugs and fitted regression lines for three diseases: PDAC, HCC, and LUAD. Lower up-scores and higher down-scores represent drugs with higher potential that could reverse disease signatures. The top ten prioritized drugs are annotated in red.

    Article Snippet: For the in silico drug screening task , we used an FDA-approved drug library from TargetMol , consisting of 935 clinically approved compounds, ensuring the relevance of predictions to translational applications.

    Techniques: Derivative Assay, Sequencing, In Silico, Drug discovery