Literature DB >> 26650512

Investigating the linkage between disease-causing amino acid variants and their effect on protein stability and binding.

Yunhui Peng1, Emil Alexov1.   

Abstract

Single amino acid variations (SAV) occurring in human population result in natural differences between individuals or cause diseases. It is well understood that the molecular effect of SAV can be manifested as changes of the wild type characteristics of the corresponding protein, among which are the protein stability and protein interactions. Typically the effect of SAV on protein stability and interactions was assessed via the changes of the wild type folding and binding free energies. However, in terms of SAV affecting protein functionally and disease susceptibility, one wants to know to what extend the wild type function is perturbed by the SAV. Here it is demonstrated that relative, rather than the absolute, change of the folding and binding free energy serves as a good indicator for SAV association with disease. Using HumVar as a source for disease-causing SAV and experimentally determined free energy changes from ProTherm and SKEMPI databases, correlation coefficients (CC) between the disease index (Pd) and relative folding (Ppr,f) and binding (Ppr,b) probability indexes, respectively, was achieved. The obtained CCs demonstrated the applicability of the proposed approach and it served as good indicator for SAV association with disease.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  binding free energy; disease-causing mutations; folding free energy; protein binding; protein folding; single amino acid variation

Mesh:

Substances:

Year:  2016        PMID: 26650512      PMCID: PMC4955551          DOI: 10.1002/prot.24968

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


  38 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.

Authors:  Raphael Guerois; Jens Erik Nielsen; Luis Serrano
Journal:  J Mol Biol       Date:  2002-07-05       Impact factor: 5.469

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

Review 4.  SNP discovery in associating genetic variation with human disease phenotypes.

Authors:  Yousin Suh; Jan Vijg
Journal:  Mutat Res       Date:  2005-06-03       Impact factor: 2.433

5.  Large-scale quantification of single amino-acid variations by a variation-associated database search strategy.

Authors:  Chunxia Song; Fangjun Wang; Kai Cheng; Xiaoluan Wei; Yangyang Bian; Keyun Wang; Yexiong Tan; Hongyang Wang; Mingliang Ye; Hanfa Zou
Journal:  J Proteome Res       Date:  2013-11-25       Impact factor: 4.466

6.  Types and effects of protein variations.

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

7.  VariBench: a benchmark database for variations.

Authors:  Preethy Sasidharan Nair; Mauno Vihinen
Journal:  Hum Mutat       Date:  2012-10-11       Impact factor: 4.878

8.  Human non-synonymous SNPs: server and survey.

Authors:  Vasily Ramensky; Peer Bork; Shamil Sunyaev
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

9.  ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions.

Authors:  M D Shaji Kumar; K Abdulla Bava; M Michael Gromiha; Ponraj Prabakaran; Koji Kitajima; Hatsuho Uedaira; Akinori Sarai
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

Review 10.  Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnostics.

Authors:  Tugba G Kucukkal; Ye Yang; Susan C Chapman; Weiguo Cao; Emil Alexov
Journal:  Int J Mol Sci       Date:  2014-05-30       Impact factor: 5.923

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  22 in total

1.  Single Amino Acid Variant Profiles of Subpopulations in the MCF-7 Breast Cancer Cell Line.

Authors:  Zhijing Tan; Song Nie; Sean P McDermott; Max S Wicha; David M Lubman
Journal:  J Proteome Res       Date:  2017-01-20       Impact factor: 4.466

2.  Predicting protein-DNA binding free energy change upon missense mutations using modified MM/PBSA approach: SAMPDI webserver.

Authors:  Yunhui Peng; Lexuan Sun; Zhe Jia; Lin Li; Emil Alexov
Journal:  Bioinformatics       Date:  2018-03-01       Impact factor: 6.937

3.  SSIPe: accurately estimating protein-protein binding affinity change upon mutations using evolutionary profiles in combination with an optimized physical energy function.

Authors:  Xiaoqiang Huang; Wei Zheng; Robin Pearce; Yang Zhang
Journal:  Bioinformatics       Date:  2020-04-15       Impact factor: 6.937

4.  Identification of discriminative gene-level and protein-level features associated with pathogenic gain-of-function and loss-of-function variants.

Authors:  Cigdem Sevim Bayrak; David Stein; Aayushee Jain; Kumardeep Chaudhary; Girish N Nadkarni; Tielman T Van Vleck; Anne Puel; Stephanie Boisson-Dupuis; Satoshi Okada; Peter D Stenson; David N Cooper; Avner Schlessinger; Yuval Itan
Journal:  Am J Hum Genet       Date:  2021-11-10       Impact factor: 11.043

Review 5.  Implications of disease-related mutations at protein-protein interfaces.

Authors:  Dapeng Xiong; Dongjin Lee; Le Li; Qiuye Zhao; Haiyuan Yu
Journal:  Curr Opin Struct Biol       Date:  2021-12-24       Impact factor: 6.809

6.  The DBSAV Database: Predicting Deleteriousness of Single Amino Acid Variations in the Human Proteome.

Authors:  Jimin Pei; Nick V Grishin
Journal:  J Mol Biol       Date:  2021-03-04       Impact factor: 6.151

7.  Large scale analysis of protein stability in OMIM disease related human protein variants.

Authors:  Pier Luigi Martelli; Piero Fariselli; Castrense Savojardo; Giulia Babbi; Francesco Aggazio; Rita Casadio
Journal:  BMC Genomics       Date:  2016-06-23       Impact factor: 3.969

8.  In silico Mapping of Protein Unfolding Mutations for Inherited Disease.

Authors:  Caitlyn L McCafferty; Yuri V Sergeev
Journal:  Sci Rep       Date:  2016-12-01       Impact factor: 4.379

9.  Computational Investigation of the Missense Mutations in DHCR7 Gene Associated with Smith-Lemli-Opitz Syndrome.

Authors:  Yunhui Peng; Rebecca Myers; Wenxing Zhang; Emil Alexov
Journal:  Int J Mol Sci       Date:  2018-01-04       Impact factor: 5.923

10.  SAAMBE: Webserver to Predict the Charge of Binding Free Energy Caused by Amino Acids Mutations.

Authors:  Marharyta Petukh; Luogeng Dai; Emil Alexov
Journal:  Int J Mol Sci       Date:  2016-04-12       Impact factor: 5.923

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