Literature DB >> 17379687

iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations.

Liang-Tsung Huang1, M Michael Gromiha, Shinn-Ying Ho.   

Abstract

UNLABELLED: We have developed a web server, iPTREE-STAB for discriminating the stability of proteins (stabilizing or destabilizing) and predicting their stability changes (delta deltaG) upon single amino acid substitutions from amino acid sequence. The discrimination and prediction are mainly based on decision tree coupled with adaptive boosting algorithm, and classification and regression tree, respectively, using three neighboring residues of the mutant site along N- and C-terminals. Our method showed an accuracy of 82% for discriminating the stabilizing and destabilizing mutants, and a correlation of 0.70 for predicting protein stability changes upon mutations. AVAILABILITY: http://bioinformatics.myweb.hinet.net/iptree.htm. SUPPLEMENTARY INFORMATION: Dataset and other details are given.

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Year:  2007        PMID: 17379687     DOI: 10.1093/bioinformatics/btm100

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


  38 in total

Review 1.  Multifactorial level of extremostability of proteins: can they be exploited for protein engineering?

Authors:  Debamitra Chakravorty; Mohd Faheem Khan; Sanjukta Patra
Journal:  Extremophiles       Date:  2017-03-10       Impact factor: 2.395

2.  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

3.  Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning.

Authors:  Arun Prasad Pandurangan; Tom L Blundell
Journal:  Protein Sci       Date:  2019-11-25       Impact factor: 6.725

4.  pStab: prediction of stable mutants, unfolding curves, stability maps and protein electrostatic frustration.

Authors:  Soundhararajan Gopi; Devanshu Devanshu; Praveen Krishna; Athi N Naganathan
Journal:  Bioinformatics       Date:  2018-03-01       Impact factor: 6.937

5.  Structural assessment of the effects of amino acid substitutions on protein stability and protein protein interaction.

Authors:  Shaolei Teng; Anand K Srivastava; Charles E Schwartz; Emil Alexov; Liangjiang Wang
Journal:  Int J Comput Biol Drug Des       Date:  2011-02-04

6.  Predicting the melting point of human C-type lysozyme mutants.

Authors:  Deeptak Verma; Donald J Jacobs; Dennis R Livesay
Journal:  Curr Protein Pept Sci       Date:  2010-11       Impact factor: 3.272

7.  Sequence feature-based prediction of protein stability changes upon amino acid substitutions.

Authors:  Shaolei Teng; Anand K Srivastava; Liangjiang Wang
Journal:  BMC Genomics       Date:  2010-11-02       Impact factor: 3.969

8.  An Italian cohort study identifies four new pathologic mutations in the ARSA gene.

Authors:  Daniela Galla; Paola de Gemmis; Laura Anesi; Silvia Berto; Diego Dolcetta; Uroš Hladnik
Journal:  J Mol Neurosci       Date:  2013-04-05       Impact factor: 3.444

9.  An integrated method for cancer classification and rule extraction from microarray data.

Authors:  Liang-Tsung Huang
Journal:  J Biomed Sci       Date:  2009-02-24       Impact factor: 8.410

10.  A model for protein sequence evolution based on selective pressure for protein stability: application to hemoglobins.

Authors:  Lorraine Marsh
Journal:  Evol Bioinform Online       Date:  2009-08-27       Impact factor: 1.625

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