Literature DB >> 16679333

PROXIMO--a new docking algorithm to model protein complexes using data from radical probe mass spectrometry (RP-MS).

Sebastien K Gerega1, Kevin M Downard.   

Abstract

The design and implementation of a new algorithm, known as PROXIMO for protein oxidation interface modeller, is described to predict the structure of protein complexes using data generated in radical probe mass spectrometry (RP-MS) experiments. Photochemical radiolysis and discharge sources can be used to effect RP-MS in which hydroxyl radicals are formed directly from the bulk solvent on millisecond timescales and react with surface accessible residues in footprinting-like experiments. The algorithm utilizes a geometric surface fitting routine to predict likely structures for protein complexes. These structures are scored based on a correlation between the measured solvent accessibility of oxidizable residue side chains and oxidation shielding data obtained by RP-MS. The algorithm has been implemented to predict structures for the ribonuclease S-protein-peptide and calmodulin-melittin complexes using RP-MS data generated in this laboratory. The former is in close agreement with the high-resolution experimental structure available.

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Year:  2006        PMID: 16679333     DOI: 10.1093/bioinformatics/btl178

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  A critical assessment of information-guided protein-protein docking predictions.

Authors:  Edward S C Shih; Ming-Jing Hwang
Journal:  Mol Cell Proteomics       Date:  2012-12-13       Impact factor: 5.911

2.  Development of a microsecond X-ray protein footprinting facility at the Advanced Light Source.

Authors:  Sayan Gupta; Richard Celestre; Christopher J Petzold; Mark R Chance; Corie Ralston
Journal:  J Synchrotron Radiat       Date:  2014-05-16       Impact factor: 2.616

3.  Modeling protein assemblies in the proteome.

Authors:  Guray Kuzu; Ozlem Keskin; Ruth Nussinov; Attila Gursoy
Journal:  Mol Cell Proteomics       Date:  2014-01-20       Impact factor: 5.911

Review 4.  Covalent labeling-mass spectrometry with non-specific reagents for studying protein structure and interactions.

Authors:  Patanachai Limpikirati; Tianying Liu; Richard W Vachet
Journal:  Methods       Date:  2018-04-07       Impact factor: 3.608

Review 5.  Mass Spectrometry-Based Protein Footprinting for Higher-Order Structure Analysis: Fundamentals and Applications.

Authors:  Xiaoran Roger Liu; Mengru Mira Zhang; Michael L Gross
Journal:  Chem Rev       Date:  2020-04-22       Impact factor: 60.622

6.  Building macromolecular assemblies by information-driven docking: introducing the HADDOCK multibody docking server.

Authors:  Ezgi Karaca; Adrien S J Melquiond; Sjoerd J de Vries; Panagiotis L Kastritis; Alexandre M J J Bonvin
Journal:  Mol Cell Proteomics       Date:  2010-03-19       Impact factor: 5.911

7.  MTMDAT-HADDOCK: high-throughput, protein complex structure modeling based on limited proteolysis and mass spectrometry.

Authors:  Janosch Hennig; Sjoerd J de Vries; Klaus Dm Hennig; Leah Randles; Kylie J Walters; Maria Sunnerhagen; Alexandre M J J Bonvin
Journal:  BMC Struct Biol       Date:  2012-11-15

8.  Covalent Labeling with Diethylpyrocarbonate for Studying Protein Higher-Order Structure by Mass Spectrometry.

Authors:  Richard W Vachet; Patanachai Limpikirati; Zachary J Kirsch; Blaise G Arden
Journal:  J Vis Exp       Date:  2021-06-15       Impact factor: 1.424

  8 in total

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