Literature DB >> 18326508

3D-Garden: a system for modelling protein-protein complexes based on conformational refinement of ensembles generated with the marching cubes algorithm.

Victor I Lesk1, Michael J E Sternberg.   

Abstract

MOTIVATION: Reliable structural modelling of protein-protein complexes has widespread application, from drug design to advancing our knowledge of protein interactions and function. This work addresses three important issues in protein-protein docking: implementing backbone flexibility, incorporating prior indications from experiment and bioinformatics, and providing public access via a server. 3D-Garden (Global And Restrained Docking Exploration Nexus), our benchmarked and server-ready flexible docking system, allows sophisticated programming of surface patches by the user via a facet representation of the interactors' molecular surfaces (generated with the marching cubes algorithm). Flexibility is implemented as a weighted exhaustive conformer search for each clashing pair of molecular branches in a set of 5000 models filtered from around approximately 340,000 initially.
RESULTS: In a non-global assessment, carried out strictly according to the protocols for number of models considered and model quality of the Critical Assessment of Protein Interactions (CAPRI) experiment, over the widely-used Benchmark 2.0 of 84 complexes, 3D-Garden identifies a set of ten models containing an acceptable or better model in 29/45 test cases, including one with large conformational change. In 19/45 cases an acceptable or better model is ranked first or second out of 340,000 candidates. AVAILABILITY: http://www.sbg.bio.ic.ac.uk/3dgarden (server).

Entities:  

Mesh:

Year:  2008        PMID: 18326508     DOI: 10.1093/bioinformatics/btn093

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  21 in total

1.  dockYard--a repository to assist modeling of protein-protein docking.

Authors:  Pralay Mitra; Debnath Pal
Journal:  J Mol Model       Date:  2010-06-04       Impact factor: 1.810

2.  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

3.  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

Review 4.  DNA-protein interaction: identification, prediction and data analysis.

Authors:  Abbasali Emamjomeh; Darush Choobineh; Behzad Hajieghrari; Nafiseh MahdiNezhad; Amir Khodavirdipour
Journal:  Mol Biol Rep       Date:  2019-03-26       Impact factor: 2.316

5.  HSYMDOCK: a docking web server for predicting the structure of protein homo-oligomers with Cn or Dn symmetry.

Authors:  Yumeng Yan; Huanyu Tao; Sheng-You Huang
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

6.  A critical assessment of information-guided protein-protein docking predictions.

Authors:  Edward S C Shih; Ming-Jing Hwang
Journal:  Mol Cell Proteomics       Date:  2012-12-13       Impact factor: 5.911

7.  HDOCK: a web server for protein-protein and protein-DNA/RNA docking based on a hybrid strategy.

Authors:  Yumeng Yan; Di Zhang; Pei Zhou; Botong Li; Sheng-You Huang
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

8.  TagDock: an efficient rigid body docking algorithm for oligomeric protein complex model construction and experiment planning.

Authors:  Jarrod A Smith; Sarah J Edwards; Christopher W Moth; Terry P Lybrand
Journal:  Biochemistry       Date:  2013-08-02       Impact factor: 3.162

9.  RosettaAntibody: antibody variable region homology modeling server.

Authors:  Aroop Sircar; Eric T Kim; Jeffrey J Gray
Journal:  Nucleic Acids Res       Date:  2009-05-20       Impact factor: 16.971

10.  Protein-protein docking using region-based 3D Zernike descriptors.

Authors:  Vishwesh Venkatraman; Yifeng D Yang; Lee Sael; Daisuke Kihara
Journal:  BMC Bioinformatics       Date:  2009-12-09       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.