Literature DB >> 19267389

Pathogenic or not? And if so, then how? Studying the effects of missense mutations using bioinformatics methods.

Janita Thusberg1, Mauno Vihinen.   

Abstract

Many gene defects are relatively easy to identify experimentally, but obtaining information about the effects of sequence variations and elucidation of the detailed molecular mechanisms of genetic diseases will be among the next major efforts in mutation research. Amino acid substitutions may have diverse effects on protein structure and function; thus, a detailed analysis of the mutations is essential. Experimental study of the molecular effects of mutations is laborious, whereas useful and reliable information about the effects of amino acid substitutions can readily be obtained by theoretical methods. Experimentally defined structures and molecular modeling can be used as a basis for interpretation of the mutations. The effects of missense mutations can be analyzed even when the 3D structure of the protein has not been determined, although structure-based analyses are more reliable. Structural analyses include studies of the contacts between residues, their implication for the stability of the protein, and the effects of the introduced residues. Investigations of steric and stereochemical consequences of substitutions provide insights on the molecular fit of the introduced residue. Mutations that change the electrostatic surface potential of a protein have wide-ranging effects. Analyses of the effects of mutations on interactions with ligands and partners have been performed for elucidation of functional mutations. We have employed numerous methods for predicting the effects of amino acid substitutions. We discuss the applicability of these methods in the analysis of genes, proteins, and diseases to reveal protein structure-function relationships, which is essential to gain insights into disease genotype-phenotype correlations. Copyright 2009 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2009        PMID: 19267389     DOI: 10.1002/humu.20938

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  84 in total

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2.  Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer.

Authors:  Thomas A Peterson; Nathan L Nehrt; Dohwan Park; Maricel G Kann
Journal:  J Am Med Inform Assoc       Date:  2012 Mar-Apr       Impact factor: 4.497

3.  Mutational status of VHL gene and its clinical importance in renal clear cell carcinoma.

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Journal:  Virchows Arch       Date:  2014-07-16       Impact factor: 4.064

Review 4.  High-throughput structural biology of metabolic enzymes and its impact on human diseases.

Authors:  Wyatt W Yue; Udo Oppermann
Journal:  J Inherit Metab Dis       Date:  2011-02-22       Impact factor: 4.982

5.  Development and validation of a computational method for assessment of missense variants in hypertrophic cardiomyopathy.

Authors:  Daniel M Jordan; Adam Kiezun; Samantha M Baxter; Vineeta Agarwala; Robert C Green; Michael F Murray; Trevor Pugh; Matthew S Lebo; Heidi L Rehm; Birgit H Funke; Shamil R Sunyaev
Journal:  Am J Hum Genet       Date:  2011-02-11       Impact factor: 11.025

6.  Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies.

Authors:  Chengliang Dong; Peng Wei; Xueqiu Jian; Richard Gibbs; Eric Boerwinkle; Kai Wang; Xiaoming Liu
Journal:  Hum Mol Genet       Date:  2014-12-30       Impact factor: 6.150

7.  Types and effects of protein variations.

Authors:  Mauno Vihinen
Journal:  Hum Genet       Date:  2015-01-24       Impact factor: 4.132

8.  Accurate distinction of pathogenic from benign CNVs in mental retardation.

Authors:  Jayne Y Hehir-Kwa; Nienke Wieskamp; Caleb Webber; Rolph Pfundt; Han G Brunner; Christian Gilissen; Bert B A de Vries; Chris P Ponting; Joris A Veltman
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

9.  Mutation@A Glance: an integrative web application for analysing mutations from human genetic diseases.

Authors:  Atsushi Hijikata; Rajesh Raju; Shivakumar Keerthikumar; Subhashri Ramabadran; Lavanya Balakrishnan; Suresh Kumar Ramadoss; Akhilesh Pandey; Sujatha Mohan; Osamu Ohara
Journal:  DNA Res       Date:  2010-04-01       Impact factor: 4.458

10.  Easy retrieval of single amino-acid polymorphisms and phenotype information using SwissVar.

Authors:  Anaïs Mottaz; Fabrice P A David; Anne-Lise Veuthey; Yum L Yip
Journal:  Bioinformatics       Date:  2010-01-26       Impact factor: 6.937

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