Literature DB >> 16546374

High-resolution protein-protein docking.

Jeffrey J Gray1.   

Abstract

The high-resolution prediction of protein-protein docking can now create structures with atomic-level accuracy. This progress arises from both improvements in the rapid sampling of conformations and increased accuracy of binding free energy calculations. Consequently, the quality of models submitted to the blind prediction challenge CAPRI (Critical Assessment of PRedicted Interactions) has steadily increased, including complexes predicted from homology structures of one binding partner and complexes with atomic accuracy at the interface. By exploiting experimental information, docking has created model structures for real applications, even when confronted with challenges such as moving backbones and uncertain monomer structures. Work remains to be done in docking large or flexible proteins, ranking models consistently, and producing models accurate enough to allow computational design of higher affinities or specificities.

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Year:  2006        PMID: 16546374     DOI: 10.1016/j.sbi.2006.03.003

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  65 in total

1.  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

2.  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

3.  Fast and accurate modeling of protein-protein interactions by combining template-interface-based docking with flexible refinement.

Authors:  Nurcan Tuncbag; Ozlem Keskin; Ruth Nussinov; Attila Gursoy
Journal:  Proteins       Date:  2012-01-31

4.  Characterization of molecular recognition features, MoRFs, and their binding partners.

Authors:  Vladimir Vacic; Christopher J Oldfield; Amrita Mohan; Predrag Radivojac; Marc S Cortese; Vladimir N Uversky; A Keith Dunker
Journal:  J Proteome Res       Date:  2007-05-09       Impact factor: 4.466

5.  Mapping of protein-protein interaction sites by the 'absence of interference' approach.

Authors:  Arunkumar Dhayalan; Tomasz P Jurkowski; Heike Laser; Richard Reinhardt; Da Jia; Xiaodong Cheng; Albert Jeltsch
Journal:  J Mol Biol       Date:  2007-12-23       Impact factor: 5.469

6.  IRECS: a new algorithm for the selection of most probable ensembles of side-chain conformations in protein models.

Authors:  Christoph Hartmann; Iris Antes; Thomas Lengauer
Journal:  Protein Sci       Date:  2007-06-13       Impact factor: 6.725

7.  FRODOCK: a new approach for fast rotational protein-protein docking.

Authors:  José Ignacio Garzon; José Ramón Lopéz-Blanco; Carles Pons; Julio Kovacs; Ruben Abagyan; Juan Fernandez-Recio; Pablo Chacon
Journal:  Bioinformatics       Date:  2009-07-20       Impact factor: 6.937

8.  DOCKGROUND protein-protein docking decoy set.

Authors:  Shiyong Liu; Ying Gao; Ilya A Vakser
Journal:  Bioinformatics       Date:  2008-09-23       Impact factor: 6.937

9.  Predicting protein-protein interactions on a proteome scale by matching evolutionary and structural similarities at interfaces using PRISM.

Authors:  Nurcan Tuncbag; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
Journal:  Nat Protoc       Date:  2011-08-11       Impact factor: 13.491

10.  Characterization of nuclear localization signal in the N terminus of integrin-linked kinase-associated phosphatase (ILKAP) and its essential role in the down-regulation of RSK2 protein signaling.

Authors:  Wang Zhou; Hao Cao; Xinghai Yang; Kan Cong; Wei Wang; Tianrui Chen; Huabin Yin; Zhipeng Wu; Xiaopan Cai; Tielong Liu; Jianru Xiao
Journal:  J Biol Chem       Date:  2013-01-17       Impact factor: 5.157

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