Literature DB >> 22595401

Protein interactions in 3D: from interface evolution to drug discovery.

Christof Winter1, Andreas Henschel, Anne Tuukkanen, Michael Schroeder.   

Abstract

Over the past 10years, much research has been dedicated to the understanding of protein interactions. Large-scale experiments to elucidate the global structure of protein interaction networks have been complemented by detailed studies of protein interaction interfaces. Understanding the evolution of interfaces allows one to identify convergently evolved interfaces which are evolutionary unrelated but share a few key residues and hence have common binding partners. Understanding interaction interfaces and their evolution is an important basis for pharmaceutical applications in drug discovery. Here, we review the algorithms and databases on 3D protein interactions and discuss in detail applications in interface evolution, drug discovery, and interface prediction.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22595401     DOI: 10.1016/j.jsb.2012.04.009

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  8 in total

1.  Structural Perspectives on the Evolutionary Expansion of Unique Protein-Protein Binding Sites.

Authors:  Alexander Goncearenco; Alexey K Shaytan; Benjamin A Shoemaker; Anna R Panchenko
Journal:  Biophys J       Date:  2015-07-23       Impact factor: 4.033

2.  Bayesian model of protein primary sequence for secondary structure prediction.

Authors:  Qiwei Li; David B Dahl; Marina Vannucci; Jerry W Tsai
Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

3.  Achievements and challenges in structural bioinformatics and computational biophysics.

Authors:  Ilan Samish; Philip E Bourne; Rafael J Najmanovich
Journal:  Bioinformatics       Date:  2014-12-08       Impact factor: 6.937

4.  Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling.

Authors:  Wenying Yan; Xingyi Liu; Yibo Wang; Shuqing Han; Fan Wang; Xin Liu; Fei Xiao; Guang Hu
Journal:  Front Pharmacol       Date:  2020-04-30       Impact factor: 5.810

5.  Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.

Authors:  Shilpa Nadimpalli Kobren; Mona Singh
Journal:  Nucleic Acids Res       Date:  2019-01-25       Impact factor: 16.971

6.  iPfam: a database of protein family and domain interactions found in the Protein Data Bank.

Authors:  Robert D Finn; Benjamin L Miller; Jody Clements; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2013-12-01       Impact factor: 16.971

7.  Protein-protein interactions in paralogues: Electrostatics modulates specificity on a conserved steric scaffold.

Authors:  Stefan M Ivanov; Andrew Cawley; Roland G Huber; Peter J Bond; Jim Warwicker
Journal:  PLoS One       Date:  2017-10-10       Impact factor: 3.240

8.  Pattern to Knowledge: Deep Knowledge-Directed Machine Learning for Residue-Residue Interaction Prediction.

Authors:  Andrew K C Wong; Ho Yin Sze-To; Gary L Johanning
Journal:  Sci Rep       Date:  2018-10-04       Impact factor: 4.379

  8 in total

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