Literature DB >> 12874065

The binding interface database (BID): a compilation of amino acid hot spots in protein interfaces.

T B Fischer1, K V Arunachalam, D Bailey, V Mangual, S Bakhru, R Russo, D Huang, M Paczkowski, V Lalchandani, C Ramachandra, B Ellison, S Galer, J Shapley, E Fuentes, J Tsai.   

Abstract

SUMMARY: To make information about protein interactive function easily accessible, we are mining the primary scientific literature for detailed data about protein interfaces. The Binding Interface Database (BID) organizes the vast amount of protein interaction information into tables, graphical contact maps and descriptive functional profiles. Currently data on 170 interacting protein pairs are available with over 1300 mutations described. AVAILABILITY: The BID database is freely available at http://tsailab.org/BID/ To have your protein of interest entered, contact Tiffany Fischer (tiffbrink@neo.tamu.edu) or Jerry Tsai at the email below

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Year:  2003        PMID: 12874065     DOI: 10.1093/bioinformatics/btg163

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


  44 in total

1.  Protein subunit interfaces: A statistical analysis of hot spots in Sm proteins.

Authors:  Srđan D Stojanović; Božidarka L Zarić; Snežana D Zarić
Journal:  J Mol Model       Date:  2010-07-23       Impact factor: 1.810

2.  Relationship between hot spot residues and ligand binding hot spots in protein-protein interfaces.

Authors:  Brandon S Zerbe; David R Hall; Sandor Vajda; Adrian Whitty; Dima Kozakov
Journal:  J Chem Inf Model       Date:  2012-07-24       Impact factor: 4.956

3.  AB-Bind: Antibody binding mutational database for computational affinity predictions.

Authors:  Sarah Sirin; James R Apgar; Eric M Bennett; Amy E Keating
Journal:  Protein Sci       Date:  2015-11-06       Impact factor: 6.725

Review 4.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

Review 5.  Computational prediction of protein hot spot residues.

Authors:  John Kenneth Morrow; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

6.  A survey of available tools and web servers for analysis of protein-protein interactions and interfaces.

Authors:  Nurcan Tuncbag; Gozde Kar; Ozlem Keskin; Attila Gursoy; Ruth Nussinov
Journal:  Brief Bioinform       Date:  2009-02-24       Impact factor: 11.622

7.  PredHS: a web server for predicting protein-protein interaction hot spots by using structural neighborhood properties.

Authors:  Lei Deng; Qiangfeng Cliff Zhang; Zhigang Chen; Yang Meng; Jihong Guan; Shuigeng Zhou
Journal:  Nucleic Acids Res       Date:  2014-05-22       Impact factor: 16.971

8.  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

9.  PRICE (PRotein Interface Conservation and Energetics): a server for the analysis of protein-protein interfaces.

Authors:  Mainak Guharoy; Arumay Pal; Maitrayee Dasgupta; Pinak Chakrabarti
Journal:  J Struct Funct Genomics       Date:  2011-04-26

10.  Oligomeric interfaces under the lens: gemini.

Authors:  Giovanni Feverati; Claire Lesieur
Journal:  PLoS One       Date:  2010-03-25       Impact factor: 3.240

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