Literature DB >> 16617425

Computational mutagenesis studies of protein structure-function correlations.

Majid Masso1, Zhibin Lu, Iosif I Vaisman.   

Abstract

Topological scores, measures of sequence-structure compatibility, are calculated for all 1,881 single point mutants of the human immunodeficiency virus (HIV)-1 protease using a four-body statistical potential function based on Delaunay tessellation of protein structure. Comparison of the mutant topological score data with experimental data from alanine scan studies specifically on the dimer interface residues supports previous findings that 1) L97 and F99 contribute greatly to the Gibbs energy of HIV-1 protease dimerization, 2) Q2 and T4 contribute the least toward the Gibbs energy, and 3) C-terminal residues are more sensitive to mutations than those at the N-terminus. For a more comprehensive treatment of the relationship between protease structure and function, mutant topological scores are compared with the activity levels for a set of 536 experimentally synthesized protease mutants, and a significant correlation is observed. Finally, this structure-function correlation is similarly identified by examining model systems consisting of 2,015 single point mutants of bacteriophage T4 lysozyme as well as 366 single point mutants of HIV-1 reverse transcriptase and is hypothesized to be a property generally applicable to all proteins. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16617425     DOI: 10.1002/prot.20968

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  8 in total

1.  Conformational flexibility, binding energy, role of salt bridge and alanine-mutagenesis for c-Abl kinase complex.

Authors:  Kshatresh Dutta Dubey; Rajendra Prasad Ojha
Journal:  J Mol Model       Date:  2011-08-03       Impact factor: 1.810

2.  Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage.

Authors:  Majid Masso; Iosif I Vaisman
Journal:  BMC Bioinformatics       Date:  2010-10-05       Impact factor: 3.169

3.  Scoring function to predict solubility mutagenesis.

Authors:  Ye Tian; Christopher Deutsch; Bala Krishnamoorthy
Journal:  Algorithms Mol Biol       Date:  2010-10-07       Impact factor: 1.405

4.  Prediction of enzyme mutant activity using computational mutagenesis and incremental transduction.

Authors:  Nada Basit; Harry Wechsler
Journal:  Adv Bioinformatics       Date:  2011-10-09

5.  Structure and age jointly influence rates of protein evolution.

Authors:  Macarena Toll-Riera; David Bostick; M Mar Albà; Joshua B Plotkin
Journal:  PLoS Comput Biol       Date:  2012-05-31       Impact factor: 4.475

6.  Modeling functional changes to Escherichia coli thymidylate synthase upon single residue replacements: a structure-based approach.

Authors:  Majid Masso
Journal:  PeerJ       Date:  2015-01-08       Impact factor: 2.984

7.  Determining effects of non-synonymous SNPs on protein-protein interactions using supervised and semi-supervised learning.

Authors:  Nan Zhao; Jing Ginger Han; Chi-Ren Shyu; Dmitry Korkin
Journal:  PLoS Comput Biol       Date:  2014-05-01       Impact factor: 4.475

8.  Fitness of unregulated human Ras mutants modeled by implementing computational mutagenesis and machine learning techniques.

Authors:  Majid Masso; Arnav Bansal; Preethi Prem; Akhil Gajjala; Iosif I Vaisman
Journal:  Heliyon       Date:  2019-06-12
  8 in total

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