Literature DB >> 18476685

Protein surface conservation in binding sites.

Nejc Carl1, Janez Konc, Dusanka Janezic.   

Abstract

An algorithm is described which uses the conservation of the 3D structure of protein surfaces, as opposed to their sequences, to detect protein-protein binding sites. The protein in which protein-protein binding sites are sought is compared with structures of multiple structurally related proteins and the surface that is conserved at least once is considered to be a part of the binding site. The binding site predictions obtained in this way for a set of protein-protein complexes correspond well with the actual protein-protein binding sites. A comparison of this method with an algorithm using the support vector machine approach for predicting protein-protein binding sites shows structural conservation to be an important characteristic that distinguishes binding sites from the remainder of protein surfaces.

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Year:  2008        PMID: 18476685     DOI: 10.1021/ci8000315

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  10 in total

1.  CHARMMing: a new, flexible web portal for CHARMM.

Authors:  Benjamin T Miller; Rishi P Singh; Jeffery B Klauda; Milan Hodoscek; Bernard R Brooks; H Lee Woodcock
Journal:  J Chem Inf Model       Date:  2008-08-13       Impact factor: 4.956

2.  Multi-task learning to leverage partially annotated data for PPI interface prediction.

Authors:  Henriette Capel; K Anton Feenstra; Sanne Abeln
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

3.  ProB-Site: Protein Binding Site Prediction Using Local Features.

Authors:  Sharzil Haris Khan; Hilal Tayara; Kil To Chong
Journal:  Cells       Date:  2022-07-05       Impact factor: 7.666

4.  ProBiS: a web server for detection of structurally similar protein binding sites.

Authors:  Janez Konc; Dusanka Janezic
Journal:  Nucleic Acids Res       Date:  2010-05-26       Impact factor: 16.971

5.  ProBiS algorithm for detection of structurally similar protein binding sites by local structural alignment.

Authors:  Janez Konc; Dusanka Janezic
Journal:  Bioinformatics       Date:  2010-03-19       Impact factor: 6.937

6.  Correlating protein hot spot surface analysis using ProBiS with simulated free energies of protein-protein interfacial residues.

Authors:  Nejc Carl; Milan Hodošček; Blaž Vehar; Janez Konc; Bernard R Brooks; Dušanka Janežič
Journal:  J Chem Inf Model       Date:  2012-10-08       Impact factor: 4.956

7.  Predicting protein-protein interface residues using local surface structural similarity.

Authors:  Rafael A Jordan; Yasser El-Manzalawy; Drena Dobbs; Vasant Honavar
Journal:  BMC Bioinformatics       Date:  2012-03-18       Impact factor: 3.169

8.  HomPPI: a class of sequence homology based protein-protein interface prediction methods.

Authors:  Li C Xue; Drena Dobbs; Vasant Honavar
Journal:  BMC Bioinformatics       Date:  2011-06-17       Impact factor: 3.169

9.  Algorithmic approaches to protein-protein interaction site prediction.

Authors:  Tristan T Aumentado-Armstrong; Bogdan Istrate; Robert A Murgita
Journal:  Algorithms Mol Biol       Date:  2015-02-15       Impact factor: 1.405

Review 10.  Progress and challenges in predicting protein interfaces.

Authors:  Reyhaneh Esmaielbeiki; Konrad Krawczyk; Bernhard Knapp; Jean-Christophe Nebel; Charlotte M Deane
Journal:  Brief Bioinform       Date:  2015-05-13       Impact factor: 11.622

  10 in total

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