empty flow-through chromatography column Search Results


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GE Healthcare gel filtration chromatography
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Amersham Pharmacia Biotech Ltd q-sepharose fast flow column
Purification of GAGT from tomato leaves
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Purification of GAGT from tomato leaves
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Bio-Rad hiload 16 600 superdex 75 gel chromatography column
Purification of GAGT from tomato leaves
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GE Healthcare anion exchange chromatography
Purification of GAGT from tomato leaves
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Thermo Fisher flow-through cation exchange chromatography (poros hs
Purification of GAGT from tomato leaves
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Bio-Rad gravity flow chromatography column
Overview of the methodological approach used for the Sidewinder pipeline, which relies on cross-linking mass spectrometry (XL-MS) data for epitope mapping. ( a ) This involves (i) the chemical cross-linking of an antibody to its cognate antigen, followed by (ii) proteolytic digestion and (iii) protein liquid <t>chromatography–tandem</t> mass spectrometry (LC–MS/MS) analysis. The resulting data, alongside sequence information for the interactors, can then be analyzed with Sidewinder (iv) to produce per-residue probability scores for the antigen of interest. This information can subsequently be used (v) for visualization and hypothesis generation. ( b ) The Sidewinder pipeline consists of Structure, Data, and Scoring modules. The Structure module takes FASTA or PDB files as input depending on existing information, predicts structures as needed, and performs molecular docking to generate an antibody–antigen model ensemble. The Data module filters input XL-MS data files based on theoretical cross-links, which are also used to search the data before annotating the model ensemble. Finally, the Scoring module utilizes the annotations to assign weights for scoring the model ensemble on a per-residue level to identify epitopes. R S = Residue Score.
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Danaher Inc hiload 16 60 superdex 200 gel filtration column
Overview of the methodological approach used for the Sidewinder pipeline, which relies on cross-linking mass spectrometry (XL-MS) data for epitope mapping. ( a ) This involves (i) the chemical cross-linking of an antibody to its cognate antigen, followed by (ii) proteolytic digestion and (iii) protein liquid <t>chromatography–tandem</t> mass spectrometry (LC–MS/MS) analysis. The resulting data, alongside sequence information for the interactors, can then be analyzed with Sidewinder (iv) to produce per-residue probability scores for the antigen of interest. This information can subsequently be used (v) for visualization and hypothesis generation. ( b ) The Sidewinder pipeline consists of Structure, Data, and Scoring modules. The Structure module takes FASTA or PDB files as input depending on existing information, predicts structures as needed, and performs molecular docking to generate an antibody–antigen model ensemble. The Data module filters input XL-MS data files based on theoretical cross-links, which are also used to search the data before annotating the model ensemble. Finally, the Scoring module utilizes the annotations to assign weights for scoring the model ensemble on a per-residue level to identify epitopes. R S = Residue Score.
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Danaher Inc mabselectsure chromatography
Overview of the methodological approach used for the Sidewinder pipeline, which relies on cross-linking mass spectrometry (XL-MS) data for epitope mapping. ( a ) This involves (i) the chemical cross-linking of an antibody to its cognate antigen, followed by (ii) proteolytic digestion and (iii) protein liquid <t>chromatography–tandem</t> mass spectrometry (LC–MS/MS) analysis. The resulting data, alongside sequence information for the interactors, can then be analyzed with Sidewinder (iv) to produce per-residue probability scores for the antigen of interest. This information can subsequently be used (v) for visualization and hypothesis generation. ( b ) The Sidewinder pipeline consists of Structure, Data, and Scoring modules. The Structure module takes FASTA or PDB files as input depending on existing information, predicts structures as needed, and performs molecular docking to generate an antibody–antigen model ensemble. The Data module filters input XL-MS data files based on theoretical cross-links, which are also used to search the data before annotating the model ensemble. Finally, the Scoring module utilizes the annotations to assign weights for scoring the model ensemble on a per-residue level to identify epitopes. R S = Residue Score.
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Image Search Results


Purification of GAGT from tomato leaves

Journal: Journal of Experimental Botany

Article Title: Molecular cloning and characterization of a novel tomato xylosyltransferase specific for gentisic acid

doi: 10.1093/jxb/erq234

Figure Lengend Snippet: Purification of GAGT from tomato leaves

Article Snippet: After desalting, protein samples were chromatographed through a Q-Sepharose Fast Flow column (Amersham Pharmacia Biotech), which was equilibrated with 25 mM MES-M buffer containing 0.05 M NaCl.

Techniques: Purification

Overview of the methodological approach used for the Sidewinder pipeline, which relies on cross-linking mass spectrometry (XL-MS) data for epitope mapping. ( a ) This involves (i) the chemical cross-linking of an antibody to its cognate antigen, followed by (ii) proteolytic digestion and (iii) protein liquid chromatography–tandem mass spectrometry (LC–MS/MS) analysis. The resulting data, alongside sequence information for the interactors, can then be analyzed with Sidewinder (iv) to produce per-residue probability scores for the antigen of interest. This information can subsequently be used (v) for visualization and hypothesis generation. ( b ) The Sidewinder pipeline consists of Structure, Data, and Scoring modules. The Structure module takes FASTA or PDB files as input depending on existing information, predicts structures as needed, and performs molecular docking to generate an antibody–antigen model ensemble. The Data module filters input XL-MS data files based on theoretical cross-links, which are also used to search the data before annotating the model ensemble. Finally, the Scoring module utilizes the annotations to assign weights for scoring the model ensemble on a per-residue level to identify epitopes. R S = Residue Score.

Journal: International Journal of Molecular Sciences

Article Title: Epitope Mapping with Sidewinder: An XL-MS and Structural Modeling Approach

doi: 10.3390/ijms26041488

Figure Lengend Snippet: Overview of the methodological approach used for the Sidewinder pipeline, which relies on cross-linking mass spectrometry (XL-MS) data for epitope mapping. ( a ) This involves (i) the chemical cross-linking of an antibody to its cognate antigen, followed by (ii) proteolytic digestion and (iii) protein liquid chromatography–tandem mass spectrometry (LC–MS/MS) analysis. The resulting data, alongside sequence information for the interactors, can then be analyzed with Sidewinder (iv) to produce per-residue probability scores for the antigen of interest. This information can subsequently be used (v) for visualization and hypothesis generation. ( b ) The Sidewinder pipeline consists of Structure, Data, and Scoring modules. The Structure module takes FASTA or PDB files as input depending on existing information, predicts structures as needed, and performs molecular docking to generate an antibody–antigen model ensemble. The Data module filters input XL-MS data files based on theoretical cross-links, which are also used to search the data before annotating the model ensemble. Finally, the Scoring module utilizes the annotations to assign weights for scoring the model ensemble on a per-residue level to identify epitopes. R S = Residue Score.

Article Snippet: In order to capture the IgGs from the medium, protein G sepharose 4 Fast Flow (Cytiva, Marlborough, MA, USA) was added to the medium and incubated end-over-end at room temperature for 2 h. The beads were collected by running the medium-bead mix through a gravity flow chromatography column (Bio-Rad, Hercules, CA, USA) and washed twice with 50 mL of PBS.

Techniques: Structural Proteomics, Liquid Chromatography, Mass Spectrometry, Liquid Chromatography with Mass Spectroscopy, Sequencing, Residue