Literature DB >> 23583037

Protein-peptide complex prediction through fragment interaction patterns.

Erik Verschueren1, Peter Vanhee, Frederic Rousseau, Joost Schymkowitz, Luis Serrano.   

Abstract

The number of protein-peptide interactions in a cell is so large that experimental determination of all these complex structures would be a daunting task. Although homology modeling and refinement protocols have vastly improved the number and quality of predicted structural models, ab initio methods are still challenged by both the large number of possible docking sites and the conformational space accessible to flexible peptides. We present a method that addresses these challenges by sampling the entire accessible surface of a protein with a reduced conformational space of interacting backbone fragment pairs from unrelated structures. We demonstrate its potential by predicting ab initio the bound structure for a variety of protein-peptide complexes. In addition, we show the potential of our method for the discovery of domain interaction sites and domain-domain docking.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23583037     DOI: 10.1016/j.str.2013.02.023

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  27 in total

1.  Detection of peptide-binding sites on protein surfaces: the first step toward the modeling and targeting of peptide-mediated interactions.

Authors:  Assaf Lavi; Chi Ho Ngan; Dana Movshovitz-Attias; Tanggis Bohnuud; Christine Yueh; Dmitri Beglov; Ora Schueler-Furman; Dima Kozakov
Journal:  Proteins       Date:  2013-10-17

2.  Modeling protein-peptide recognition based on classical quantitative structure-affinity relationship approach: implication for proteome-wide inference of peptide-mediated interactions.

Authors:  Yang Zhou; Zhong Ni; Keping Chen; Haijun Liu; Liang Chen; Chaoqun Lian; Lirong Yan
Journal:  Protein J       Date:  2013-10       Impact factor: 2.371

3.  Rapid search for tertiary fragments reveals protein sequence-structure relationships.

Authors:  Jianfu Zhou; Gevorg Grigoryan
Journal:  Protein Sci       Date:  2014-12-31       Impact factor: 6.725

4.  Methods for Molecular Modelling of Protein Complexes.

Authors:  Tejashree Rajaram Kanitkar; Neeladri Sen; Sanjana Nair; Neelesh Soni; Kaustubh Amritkar; Yogendra Ramtirtha; M S Madhusudhan
Journal:  Methods Mol Biol       Date:  2021

5.  Tertiary alphabet for the observable protein structural universe.

Authors:  Craig O Mackenzie; Jianfu Zhou; Gevorg Grigoryan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-03       Impact factor: 11.205

6.  MDockPeP: An ab-initio protein-peptide docking server.

Authors:  Xianjin Xu; Chengfei Yan; Xiaoqin Zou
Journal:  J Comput Chem       Date:  2018-10-23       Impact factor: 3.376

7.  Fully Blind Docking at the Atomic Level for Protein-Peptide Complex Structure Prediction.

Authors:  Chengfei Yan; Xianjin Xu; Xiaoqin Zou
Journal:  Structure       Date:  2016-09-15       Impact factor: 5.006

Review 8.  Protein structural motifs in prediction and design.

Authors:  Craig O Mackenzie; Gevorg Grigoryan
Journal:  Curr Opin Struct Biol       Date:  2017-04-28       Impact factor: 6.809

9.  PEP-SiteFinder: a tool for the blind identification of peptide binding sites on protein surfaces.

Authors:  Adrien Saladin; Julien Rey; Pierre Thévenet; Martin Zacharias; Gautier Moroy; Pierre Tufféry
Journal:  Nucleic Acids Res       Date:  2014-05-06       Impact factor: 16.971

10.  PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide-Protein Computational Docking.

Authors:  Xianjin Xu; Xiaoqin Zou
Journal:  J Comput Chem       Date:  2019-12-02       Impact factor: 3.376

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