Literature DB >> 26027735

Insights into Disease-Associated Mutations in the Human Proteome through Protein Structural Analysis.

Mu Gao1, Hongyi Zhou1, Jeffrey Skolnick2.   

Abstract

Most known disease-associated mutations are missense mutations involving changes of amino acids of proteins encoded by their genes. Given the plethora of genetic studies, sequenced exomes, and new protein structures determined each year, it is appropriate to revisit the role that structure plays in providing insights into the molecular basis of disease-associated mutations. In that regard, a large-scale structural analysis of 6,025 disease-associated mutations as well as 4,536 neutral variations for comparison was performed. While buried amino acids are common among the disease-associated mutations, as reported previously, more are statistically significantly enriched at observed or predicted functional sites. Interesting findings are that ligand-binding sites adjacent to protein-protein interfaces and residues involved in enzymatic function are especially vulnerable to disease-associated mutations. Finally, a compositional analysis of disease-associated mutations in comparison with variants identified in the 1000 Genomes Project provides a structural rationalization of the most disease-associated residue types.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26027735      PMCID: PMC4497952          DOI: 10.1016/j.str.2015.03.028

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  26 in total

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

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Review 3.  Towards a structural basis of human non-synonymous single nucleotide polymorphisms.

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Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

Review 5.  Molecular basis of inherited diseases: a structural perspective.

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Journal:  Trends Genet       Date:  2003-09       Impact factor: 11.639

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7.  Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.

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Journal:  Nature       Date:  2004-10-21       Impact factor: 49.962

9.  The retinitis pigmentosa 2 gene product is a GTPase-activating protein for Arf-like 3.

Authors:  Stefan Veltel; Raphael Gasper; Elke Eisenacher; Alfred Wittinghofer
Journal:  Nat Struct Mol Biol       Date:  2008-03-23       Impact factor: 15.369

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Authors:  Dennis Vitkup; Chris Sander; George M Church
Journal:  Genome Biol       Date:  2003-10-30       Impact factor: 13.583

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  42 in total

1.  Are protein-protein interfaces special regions on a protein's surface?

Authors:  Sam Tonddast-Navaei; Jeffrey Skolnick
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

2.  Impact of disease-Linked mutations targeting the oligomerization interfaces of aldehyde dehydrogenase 7A1.

Authors:  David A Korasick; John J Tanner; Michael T Henzl
Journal:  Chem Biol Interact       Date:  2017-01-10       Impact factor: 5.192

Review 3.  Reads meet rotamers: structural biology in the age of deep sequencing.

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Journal:  Curr Opin Struct Biol       Date:  2015-12-01       Impact factor: 6.809

4.  mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

Authors:  Carlos H M Rodrigues; Yoochan Myung; Douglas E V Pires; David B Ascher
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

5.  BindProfX: Assessing Mutation-Induced Binding Affinity Change by Protein Interface Profiles with Pseudo-Counts.

Authors:  Peng Xiong; Chengxin Zhang; Wei Zheng; Yang Zhang
Journal:  J Mol Biol       Date:  2016-11-27       Impact factor: 5.469

6.  Evolutionary coupling analysis identifies the impact of disease-associated variants at less-conserved sites.

Authors:  Donghyo Kim; Seong Kyu Han; Kwanghwan Lee; Inhae Kim; JungHo Kong; Sanguk Kim
Journal:  Nucleic Acids Res       Date:  2019-09-19       Impact factor: 16.971

7.  DAMpred: Recognizing Disease-Associated nsSNPs through Bayes-Guided Neural-Network Model Built on Low-Resolution Structure Prediction of Proteins and Protein-Protein Interactions.

Authors:  Lijun Quan; Hongjie Wu; Qiang Lyu; Yang Zhang
Journal:  J Mol Biol       Date:  2019-02-21       Impact factor: 5.469

8.  Intrinsic protein disorder could be overlooked in cocrystallization conditions: An SRCD case study.

Authors:  Eszter Németh; Ria K Balogh; Katalin Borsos; Anikó Czene; Peter W Thulstrup; Béla Gyurcsik
Journal:  Protein Sci       Date:  2016-08-23       Impact factor: 6.725

Review 9.  Precision medicine - networks to the rescue.

Authors:  Anupama Yadav; Marc Vidal; Katja Luck
Journal:  Curr Opin Biotechnol       Date:  2020-03-18       Impact factor: 9.740

10.  Representative cancer-associated U2AF2 mutations alter RNA interactions and splicing.

Authors:  Debanjana Maji; Eliezra Glasser; Steven Henderson; Justin Galardi; Mary J Pulvino; Jermaine L Jenkins; Clara L Kielkopf
Journal:  J Biol Chem       Date:  2020-10-05       Impact factor: 5.157

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