Literature DB >> 19462412

Protein-protein docking dealing with the unknown.

Irina S Moreira1, Pedro A Fernandes, Maria J Ramos.   

Abstract

Protein-protein binding is one of the critical events in biology, and knowledge of proteic complexes three-dimensional structures is of fundamental importance for the biochemical study of pharmacologic compounds. In the past two decades there was an emergence of a large variety of algorithms designed to predict the structures of protein-protein complexes--a procedure named docking. Computational methods, if accurate and reliable, could play an important role, both to infer functional properties and to guide new experiments. Despite the outstanding progress of the methodologies developed in this area, a few problems still prevent protein-protein docking to be a widespread practice in the structural study of proteins. In this review we focus our attention on the principles that govern docking, namely the algorithms used for searching and scoring, which are usually referred as the docking problem. We also focus our attention on the use of a flexible description of the proteins under study and the use of biological information as the localization of the hot spots, the important residues for protein-protein binding. The most common docking softwares are described too. Copyright 2009 Wiley Periodicals, Inc.

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Year:  2010        PMID: 19462412     DOI: 10.1002/jcc.21276

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  31 in total

Review 1.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

2.  The HADDOCK web server for data-driven biomolecular docking.

Authors:  Sjoerd J de Vries; Marc van Dijk; Alexandre M J J Bonvin
Journal:  Nat Protoc       Date:  2010-04-15       Impact factor: 13.491

3.  Accurate Prediction of Docked Protein Structure Similarity.

Authors:  Bahar Akbal-Delibas; Marc Pomplun; Nurit Haspel
Journal:  J Comput Biol       Date:  2015-09       Impact factor: 1.479

4.  Protein-Protein Docking Using EMAP in CHARMM and Support Vector Machine: Application to Ab/Ag Complexes.

Authors:  Jon D Wright; Karen Sargsyan; Xiongwu Wu; Bernard R Brooks; Carmay Lim
Journal:  J Chem Theory Comput       Date:  2013-08-16       Impact factor: 6.006

5.  Molecular motions in drug design: the coming age of the metadynamics method.

Authors:  Xevi Biarnés; Salvatore Bongarzone; Attilio Vittorio Vargiu; Paolo Carloni; Paolo Ruggerone
Journal:  J Comput Aided Mol Des       Date:  2011-02-17       Impact factor: 3.686

6.  The electron transfer complex between nitrous oxide reductase and its electron donors.

Authors:  Simone Dell'acqua; Isabel Moura; José J G Moura; Sofia R Pauleta
Journal:  J Biol Inorg Chem       Date:  2011-07-08       Impact factor: 3.358

Review 7.  What in silico molecular docking can do for the 'bench-working biologists'.

Authors:  Marius Mihăşan
Journal:  J Biosci       Date:  2012-12       Impact factor: 1.826

8.  Computational methods for constructing protein structure models from 3D electron microscopy maps.

Authors:  Juan Esquivel-Rodríguez; Daisuke Kihara
Journal:  J Struct Biol       Date:  2013-06-21       Impact factor: 2.867

9.  Modeling oblong proteins and water-mediated interfaces with RosettaDock in CAPRI rounds 28-35.

Authors:  Nicholas A Marze; Jeliazko R Jeliazkov; Shourya S Roy Burman; Scott E Boyken; Frank DiMaio; Jeffrey J Gray
Journal:  Proteins       Date:  2016-10-24

10.  Predicting protein-DNA interactions by full search computational docking.

Authors:  Victoria A Roberts; Michael E Pique; Lynn F Ten Eyck; Sheng Li
Journal:  Proteins       Date:  2013-10-18
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