Literature DB >> 11295823

SNPs, protein structure, and disease.

Z Wang1, J Moult.   

Abstract

Inherited disease susceptibility in humans is most commonly associated with single nucleotide polymorphisms (SNPs). The mechanisms by which this occurs are still poorly understood. We have analyzed the effect of a set of disease-causing missense mutations arising from SNPs, and a set of newly determined SNPs from the general population. Results of in vitro mutagenesis studies, together with the protein structural context of each mutation, are used to develop a model for assigning a mechanism of action of each mutation at the protein level. Ninety percent of the known disease-causing missense mutations examined fit this model, with the vast majority affecting protein stability, through a variety of energy related factors. In sharp contrast, over 70% of the population set are found to be neutral. The remaining 30% are potentially involved in polygenic disease. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11295823     DOI: 10.1002/humu.22

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


  256 in total

1.  Path to facilitate the prediction of functional amino acid substitutions in red blood cell disorders--a computational approach.

Authors:  Rajith B; George Priya Doss C
Journal:  PLoS One       Date:  2011-09-13       Impact factor: 3.240

2.  Functional classification of proteins and protein variants.

Authors:  Albert Y Lau; Daniel I Chasman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-15       Impact factor: 11.205

3.  Predicting folding free energy changes upon single point mutations.

Authors:  Zhe Zhang; Lin Wang; Yang Gao; Jie Zhang; Maxim Zhenirovskyy; Emil Alexov
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

4.  Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease.

Authors:  Fuxiao Xin; Steven Myers; Yong Fuga Li; David N Cooper; Sean D Mooney; Predrag Radivojac
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

Review 5.  Using bioinformatics to predict the functional impact of SNVs.

Authors:  Melissa S Cline; Rachel Karchin
Journal:  Bioinformatics       Date:  2010-12-15       Impact factor: 6.937

6.  Functional hot spots in human ATP-binding cassette transporter nucleotide binding domains.

Authors:  Libusha Kelly; Hisayo Fukushima; Rachel Karchin; Jason M Gow; Leslie W Chinn; Ursula Pieper; Mark R Segal; Deanna L Kroetz; Andrej Sali
Journal:  Protein Sci       Date:  2010-11       Impact factor: 6.725

7.  Protein stability and in vivo concentration of missense mutations in phenylalanine hydroxylase.

Authors:  Zhen Shi; Jenn Sellers; John Moult
Journal:  Proteins       Date:  2011-09-21

Review 8.  Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment.

Authors:  Khader Shameer; Lokesh P Tripathi; Krishna R Kalari; Joel T Dudley; Ramanathan Sowdhamini
Journal:  Brief Bioinform       Date:  2015-10-22       Impact factor: 11.622

9.  In silico analysis of missense substitutions using sequence-alignment based methods.

Authors:  Sean V Tavtigian; Marc S Greenblatt; Fabienne Lesueur; Graham B Byrnes
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

10.  Advances in translational bioinformatics: computational approaches for the hunting of disease genes.

Authors:  Maricel G Kann
Journal:  Brief Bioinform       Date:  2009-12-10       Impact factor: 11.622

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