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Evolutionary Covariance Combined with Molecular Dynamics Predicts a Framework for Allostery in the MutS DNA Mismatch Repair Protein
[Image: see text] Mismatch repair (MMR) is an essential, evolutionarily conserved pathway that maintains genome stability by correcting base-pairing errors in DNA. Here we examine the sequence and structure of MutS MMR protein to decipher the amino acid framework underlying its two key activities—re...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346969/ https://www.ncbi.nlm.nih.gov/pubmed/28135092 http://dx.doi.org/10.1021/acs.jpcb.6b11976 |
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author | Lakhani, Bharat Thayer, Kelly M. Hingorani, Manju M. Beveridge, David L. |
author_facet | Lakhani, Bharat Thayer, Kelly M. Hingorani, Manju M. Beveridge, David L. |
author_sort | Lakhani, Bharat |
collection | PubMed |
description | [Image: see text] Mismatch repair (MMR) is an essential, evolutionarily conserved pathway that maintains genome stability by correcting base-pairing errors in DNA. Here we examine the sequence and structure of MutS MMR protein to decipher the amino acid framework underlying its two key activities—recognizing mismatches in DNA and using ATP to initiate repair. Statistical coupling analysis (SCA) identified a network (sector) of coevolved amino acids in the MutS protein family. The potential functional significance of this SCA sector was assessed by performing molecular dynamics (MD) simulations for alanine mutants of the top 5% of 160 residues in the distribution, and control nonsector residues. The effects on three independent metrics were monitored: (i) MutS domain conformational dynamics, (ii) hydrogen bonding between MutS and DNA/ATP, and (iii) relative ATP binding free energy. Each measure revealed that sector residues contribute more substantively to MutS structure–function than nonsector residues. Notably, sector mutations disrupted MutS contacts with DNA and/or ATP from a distance via contiguous pathways and correlated motions, supporting the idea that SCA can identify amino acid networks underlying allosteric communication. The combined SCA/MD approach yielded novel, experimentally testable hypotheses for unknown roles of many residues distributed across MutS, including some implicated in Lynch cancer syndrome. |
format | Online Article Text |
id | pubmed-5346969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-53469692017-03-14 Evolutionary Covariance Combined with Molecular Dynamics Predicts a Framework for Allostery in the MutS DNA Mismatch Repair Protein Lakhani, Bharat Thayer, Kelly M. Hingorani, Manju M. Beveridge, David L. J Phys Chem B [Image: see text] Mismatch repair (MMR) is an essential, evolutionarily conserved pathway that maintains genome stability by correcting base-pairing errors in DNA. Here we examine the sequence and structure of MutS MMR protein to decipher the amino acid framework underlying its two key activities—recognizing mismatches in DNA and using ATP to initiate repair. Statistical coupling analysis (SCA) identified a network (sector) of coevolved amino acids in the MutS protein family. The potential functional significance of this SCA sector was assessed by performing molecular dynamics (MD) simulations for alanine mutants of the top 5% of 160 residues in the distribution, and control nonsector residues. The effects on three independent metrics were monitored: (i) MutS domain conformational dynamics, (ii) hydrogen bonding between MutS and DNA/ATP, and (iii) relative ATP binding free energy. Each measure revealed that sector residues contribute more substantively to MutS structure–function than nonsector residues. Notably, sector mutations disrupted MutS contacts with DNA and/or ATP from a distance via contiguous pathways and correlated motions, supporting the idea that SCA can identify amino acid networks underlying allosteric communication. The combined SCA/MD approach yielded novel, experimentally testable hypotheses for unknown roles of many residues distributed across MutS, including some implicated in Lynch cancer syndrome. American Chemical Society 2017-01-30 2017-03-09 /pmc/articles/PMC5346969/ /pubmed/28135092 http://dx.doi.org/10.1021/acs.jpcb.6b11976 Text en Copyright © 2017 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Lakhani, Bharat Thayer, Kelly M. Hingorani, Manju M. Beveridge, David L. Evolutionary Covariance Combined with Molecular Dynamics Predicts a Framework for Allostery in the MutS DNA Mismatch Repair Protein |
title | Evolutionary Covariance Combined
with Molecular Dynamics
Predicts a Framework for Allostery in the MutS DNA Mismatch Repair
Protein |
title_full | Evolutionary Covariance Combined
with Molecular Dynamics
Predicts a Framework for Allostery in the MutS DNA Mismatch Repair
Protein |
title_fullStr | Evolutionary Covariance Combined
with Molecular Dynamics
Predicts a Framework for Allostery in the MutS DNA Mismatch Repair
Protein |
title_full_unstemmed | Evolutionary Covariance Combined
with Molecular Dynamics
Predicts a Framework for Allostery in the MutS DNA Mismatch Repair
Protein |
title_short | Evolutionary Covariance Combined
with Molecular Dynamics
Predicts a Framework for Allostery in the MutS DNA Mismatch Repair
Protein |
title_sort | evolutionary covariance combined
with molecular dynamics
predicts a framework for allostery in the muts dna mismatch repair
protein |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346969/ https://www.ncbi.nlm.nih.gov/pubmed/28135092 http://dx.doi.org/10.1021/acs.jpcb.6b11976 |
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