Literature DB >> 15036860

Protein-protein docking: is the glass half-full or half-empty?

Sandor Vajda1, Carlos J Camacho.   

Abstract

Are current docking methods capable of building complexes from putative component protein structures? Results of recent computational studies, including those of the CAPRI (Critical Assessment of Protein Interactions) competition, were used to determine the key properties for successful docking and introduce a classification of protein complexes based on docking difficulty. Enzyme-inhibitor complexes could be determined with reasonable accuracy - possibly to within a few alternative structures. Results for antigen-antibody pairs are less predictable, and data for small signaling complexes are generally poor. However, moderate amounts of experimental data can remove uncertainty and the methodology is rapidly improving. Transient complexes with large interface areas undergo substantial conformational change and are beyond the reach of current docking methods. The docking of such complexes might therefore require fundamentally new approaches.

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Year:  2004        PMID: 15036860     DOI: 10.1016/j.tibtech.2004.01.006

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  31 in total

1.  Characterization of the GRK2 binding site of Galphaq.

Authors:  Peter W Day; John J G Tesmer; Rachel Sterne-Marr; Leslie C Freeman; Jeffrey L Benovic; Philip B Wedegaertner
Journal:  J Biol Chem       Date:  2004-10-07       Impact factor: 5.157

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.  Cryo-EM Data Are Superior to Contact and Interface Information in Integrative Modeling.

Authors:  Sjoerd J de Vries; Isaure Chauvot de Beauchêne; Christina E M Schindler; Martin Zacharias
Journal:  Biophys J       Date:  2016-02-01       Impact factor: 4.033

4.  ENPDA: an evolutionary structure-based de novo peptide design algorithm.

Authors:  Ignasi Belda; Sergio Madurga; Xavier Llorà; Marc Martinell; Teresa Tarragó; Mireia G Piqueras; Ernesto Nicolás; Ernest Giralt
Journal:  J Comput Aided Mol Des       Date:  2005-11-03       Impact factor: 3.686

5.  Improved side-chain modeling for protein-protein docking.

Authors:  Chu Wang; Ora Schueler-Furman; David Baker
Journal:  Protein Sci       Date:  2005-03-31       Impact factor: 6.725

6.  The design and implementation of the immune epitope database and analysis resource.

Authors:  Bjoern Peters; John Sidney; Phil Bourne; Huynh-Hoa Bui; Soeren Buus; Grace Doh; Ward Fleri; Mitch Kronenberg; Ralph Kubo; Ole Lund; David Nemazee; Julia V Ponomarenko; Muthu Sathiamurthy; Stephen P Schoenberger; Scott Stewart; Pamela Surko; Scott Way; Steve Wilson; Alessandro Sette
Journal:  Immunogenetics       Date:  2005-05-14       Impact factor: 2.846

7.  DARS (Decoys As the Reference State) potentials for protein-protein docking.

Authors:  Gwo-Yu Chuang; Dima Kozakov; Ryan Brenke; Stephen R Comeau; Sandor Vajda
Journal:  Biophys J       Date:  2008-08-01       Impact factor: 4.033

8.  Global and local structural similarity in protein-protein complexes: implications for template-based docking.

Authors:  Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2013-10-17

9.  DOCKGROUND protein-protein docking decoy set.

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

10.  Pushing structural information into the yeast interactome by high-throughput protein docking experiments.

Authors:  Roberto Mosca; Carles Pons; Juan Fernández-Recio; Patrick Aloy
Journal:  PLoS Comput Biol       Date:  2009-08-28       Impact factor: 4.475

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