Literature DB >> 25546381

Conformational dynamics of nonsynonymous variants at protein interfaces reveals disease association.

Brandon M Butler1, Z Nevin Gerek, Sudhir Kumar, S Banu Ozkan.   

Abstract

Recent studies have shown that the protein interface sites between individual monomeric units in biological assemblies are enriched in disease-associated non-synonymous single nucleotide variants (nsSNVs). To elucidate the mechanistic underpinning of this observation, we investigated the conformational dynamic properties of protein interface sites through a site-specific structural dynamic flexibility metric (dfi) for 333 multimeric protein assemblies. dfi measures the dynamic resilience of a single residue to perturbations that occurred in the rest of the protein structure and identifies sites contributing the most to functionally critical dynamics. Analysis of dfi profiles of over a thousand positions harboring variation revealed that amino acid residues at interfaces have lower average dfi (31%) than those present at non-interfaces (50%), which means that protein interfaces have less dynamic flexibility. Interestingly, interface sites with disease-associated nsSNVs have significantly lower average dfi (23%) as compared to those of neutral nsSNVs (42%), which directly relates structural dynamics to functional importance. We found that less conserved interface positions show much lower dfi for disease nsSNVs as compared to neutral nsSNVs. In this case, dfi is better as compared to the accessible surface area metric, which is based on the static protein structure. Overall, our proteome-wide conformational dynamic analysis indicates that certain interface sites play a critical role in functionally related dynamics (i.e., those with low dfi values), therefore mutations at those sites are more likely to be associated with disease.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  conformational dynamics; dynamic flexibility; elastic network model; evolutionary conservation; interfaces; linear response theory; perturbation response scanning; phenotypic prediction; protein-protein interactions; single nucleotide polymorphisms

Mesh:

Substances:

Year:  2015        PMID: 25546381      PMCID: PMC4505818          DOI: 10.1002/prot.24748

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


  46 in total

1.  Protein-protein interaction sites are hot spots for disease-associated nonsynonymous SNPs.

Authors:  Alessia David; Rozami Razali; Mark N Wass; Michael J E Sternberg
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2.  Structural determinants of protein evolution are context-sensitive at the residue level.

Authors:  Eric A Franzosa; Yu Xia
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3.  Evolutionary diagnosis method for variants in personal exomes.

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Review 4.  Global dynamics of proteins: bridging between structure and function.

Authors:  Ivet Bahar; Timothy R Lezon; Lee-Wei Yang; Eran Eyal
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5.  A dynamic knockout reveals that conformational fluctuations influence the chemical step of enzyme catalysis.

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Journal:  Science       Date:  2011-04-08       Impact factor: 47.728

6.  Role of Hsp70 ATPase domain intrinsic dynamics and sequence evolution in enabling its functional interactions with NEFs.

Authors:  Ying Liu; Lila M Gierasch; Ivet Bahar
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Review 7.  Human genomic disease variants: a neutral evolutionary explanation.

Authors:  Joel T Dudley; Yuseob Kim; Li Liu; Glenn J Markov; Kristyn Gerold; Rong Chen; Atul J Butte; Sudhir Kumar
Journal:  Genome Res       Date:  2012-06-04       Impact factor: 9.043

8.  Predicting disease-associated substitution of a single amino acid by analyzing residue interactions.

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Review 9.  Change in allosteric network affects binding affinities of PDZ domains: analysis through perturbation response scanning.

Authors:  Z Nevin Gerek; S Banu Ozkan
Journal:  PLoS Comput Biol       Date:  2011-10-06       Impact factor: 4.475

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Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

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  13 in total

Review 1.  Integration of structural dynamics and molecular evolution via protein interaction networks: a new era in genomic medicine.

Authors:  Avishek Kumar; Brandon M Butler; Sudhir Kumar; S Banu Ozkan
Journal:  Curr Opin Struct Biol       Date:  2015-12-09       Impact factor: 6.809

2.  Hinge-Shift Mechanism Modulates Allosteric Regulations in Human Pin1.

Authors:  Paul Campitelli; Jingjing Guo; Huan-Xiang Zhou; S Banu Ozkan
Journal:  J Phys Chem B       Date:  2018-02-07       Impact factor: 2.991

3.  Dynamics and structural stability effects of germline PTEN mutations associated with cancer versus autism phenotypes.

Authors:  Iris Nira Smith; Stetson Thacker; Ritika Jaini; Charis Eng
Journal:  J Biomol Struct Dyn       Date:  2018-05-14

Review 4.  Adaptability of protein structures to enable functional interactions and evolutionary implications.

Authors:  Turkan Haliloglu; Ivet Bahar
Journal:  Curr Opin Struct Biol       Date:  2015-08-06       Impact factor: 6.809

5.  The Role of Conformational Dynamics and Allostery in the Disease Development of Human Ferritin.

Authors:  Avishek Kumar; Tyler J Glembo; S Banu Ozkan
Journal:  Biophys J       Date:  2015-08-06       Impact factor: 4.033

6.  Plant-expressed cocaine hydrolase variants of butyrylcholinesterase exhibit altered allosteric effects of cholinesterase activity and increased inhibitor sensitivity.

Authors:  Katherine E Larrimore; I Can Kazan; Latha Kannan; R Player Kendle; Tameem Jamal; Matthew Barcus; Ashini Bolia; Stephen Brimijoin; Chang-Guo Zhan; S Banu Ozkan; Tsafrir S Mor
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

7.  Comparative Study of Elastic Network Model and Protein Contact Network for Protein Complexes: The Hemoglobin Case.

Authors:  Guang Hu; Luisa Di Paola; Zhongjie Liang; Alessandro Giuliani
Journal:  Biomed Res Int       Date:  2017-01-22       Impact factor: 3.411

8.  Coevolving residues inform protein dynamics profiles and disease susceptibility of nSNVs.

Authors:  Brandon M Butler; I Can Kazan; Avishek Kumar; S Banu Ozkan
Journal:  PLoS Comput Biol       Date:  2018-11-29       Impact factor: 4.475

9.  Mutations Utilize Dynamic Allostery to Confer Resistance in TEM-1 β-lactamase.

Authors:  Tushar Modi; S Banu Ozkan
Journal:  Int J Mol Sci       Date:  2018-11-29       Impact factor: 5.923

10.  The Role of Rigid Residues in Modulating TEM-1 β-Lactamase Function and Thermostability.

Authors:  Bethany Kolbaba-Kartchner; I Can Kazan; Jeremy H Mills; S Banu Ozkan
Journal:  Int J Mol Sci       Date:  2021-03-12       Impact factor: 5.923

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