Literature DB >> 17895276

meta-PPISP: a meta web server for protein-protein interaction site prediction.

Sanbo Qin1, Huan-Xiang Zhou.   

Abstract

UNLABELLED: A number of complementary methods have been developed for predicting protein-protein interaction sites. We sought to increase prediction robustness and accuracy by combining results from different predictors, and report here a meta web server, meta-PPISP, that is built on three individual web servers: cons-PPISP (http://pipe.scs.fsu.edu/ppisp.html), Promate (http://bioportal.weizmann.ac.il/promate), and PINUP (http://sparks.informatics.iupui.edu/PINUP/). A linear regression method, using the raw scores of the three servers as input, was trained on a set of 35 nonhomologous proteins. Cross validation showed that meta-PPISP outperforms all the three individual servers. At coverages identical to those of the individual methods, the accuracy of meta-PPISP is higher by 4.8 to 18.2 percentage points. Similar improvements in accuracy are also seen on CAPRI and other targets. AVAILABILITY: meta-PPISP can be accessed at http://pipe.scs.fsu.edu/meta-ppisp.html

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Year:  2007        PMID: 17895276     DOI: 10.1093/bioinformatics/btm434

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


  66 in total

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Journal:  ACS Chem Biol       Date:  2013-10-02       Impact factor: 5.100

3.  Improved prediction of protein binding sites from sequences using genetic algorithm.

Authors:  Xiuquan Du; Jiaxing Cheng; Jie Song
Journal:  Protein J       Date:  2009-08       Impact factor: 2.371

4.  Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique.

Authors:  Xiaoying Wang; Bin Yu; Anjun Ma; Cheng Chen; Bingqiang Liu; Qin Ma
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.937

5.  Computational tools help improve protein stability but with a solubility tradeoff.

Authors:  Aron Broom; Zachary Jacobi; Kyle Trainor; Elizabeth M Meiering
Journal:  J Biol Chem       Date:  2017-07-14       Impact factor: 5.157

6.  Annotating Mutational Effects on Proteins and Protein Interactions: Designing Novel and Revisiting Existing Protocols.

Authors:  Minghui Li; Alexander Goncearenco; Anna R Panchenko
Journal:  Methods Mol Biol       Date:  2017

Review 7.  A simple recipe for the non-expert bioinformaticist for building experimentally-testable hypotheses for proteins with no known homologs.

Authors:  Alexander Zawaira; Youtaro Shibayama
Journal:  J Struct Funct Genomics       Date:  2012-09-07

8.  Regression applied to protein binding site prediction and comparison with classification.

Authors:  Joachim Giard; Jérôme Ambroise; Jean-Luc Gala; Benoît Macq
Journal:  BMC Bioinformatics       Date:  2009-09-03       Impact factor: 3.169

9.  Prediction of protein binding sites in protein structures using hidden Markov support vector machine.

Authors:  Bin Liu; Xiaolong Wang; Lei Lin; Buzhou Tang; Qiwen Dong; Xuan Wang
Journal:  BMC Bioinformatics       Date:  2009-11-20       Impact factor: 3.169

10.  Inferred Biomolecular Interaction Server--a web server to analyze and predict protein interacting partners and binding sites.

Authors:  Benjamin A Shoemaker; Dachuan Zhang; Ratna R Thangudu; Manoj Tyagi; Jessica H Fong; Aron Marchler-Bauer; Stephen H Bryant; Thomas Madej; Anna R Panchenko
Journal:  Nucleic Acids Res       Date:  2009-10-20       Impact factor: 16.971

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