Cargando…

Influence of Disease-Causing Mutations on Protein Structural Networks

The interactions between residues in a protein tertiary structure can be studied effectively using the approach of protein structure network (PSN). A PSN is a node-edge representation of the structure with nodes representing residues and interactions between residues represented by edges. In this st...

Descripción completa

Detalles Bibliográficos
Autores principales: Prabantu, Vasam Manjveekar, Naveenkumar, Nagarajan, Srinivasan, Narayanaswamy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987782/
https://www.ncbi.nlm.nih.gov/pubmed/33778000
http://dx.doi.org/10.3389/fmolb.2020.620554
_version_ 1783668672597852160
author Prabantu, Vasam Manjveekar
Naveenkumar, Nagarajan
Srinivasan, Narayanaswamy
author_facet Prabantu, Vasam Manjveekar
Naveenkumar, Nagarajan
Srinivasan, Narayanaswamy
author_sort Prabantu, Vasam Manjveekar
collection PubMed
description The interactions between residues in a protein tertiary structure can be studied effectively using the approach of protein structure network (PSN). A PSN is a node-edge representation of the structure with nodes representing residues and interactions between residues represented by edges. In this study, we have employed weighted PSNs to understand the influence of disease-causing mutations on proteins of known 3D structures. We have used manually curated information on disease mutations from UniProtKB/Swiss-Prot and their corresponding protein structures of wildtype and disease variant from the protein data bank. The PSNs of the wildtype and disease-causing mutant are compared to analyse variation of global and local dissimilarity in the overall network and at specific sites. We study how a mutation at a given site can affect the structural network at a distant site which may be involved in the function of the protein. We have discussed specific examples of the disease cases where the protein structure undergoes limited structural divergence in their backbone but have large dissimilarity in their all atom networks and vice versa, wherein large conformational alterations are observed while retaining overall network. We analyse the effect of variation of network parameters that characterize alteration of function or stability.
format Online
Article
Text
id pubmed-7987782
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-79877822021-03-25 Influence of Disease-Causing Mutations on Protein Structural Networks Prabantu, Vasam Manjveekar Naveenkumar, Nagarajan Srinivasan, Narayanaswamy Front Mol Biosci Molecular Biosciences The interactions between residues in a protein tertiary structure can be studied effectively using the approach of protein structure network (PSN). A PSN is a node-edge representation of the structure with nodes representing residues and interactions between residues represented by edges. In this study, we have employed weighted PSNs to understand the influence of disease-causing mutations on proteins of known 3D structures. We have used manually curated information on disease mutations from UniProtKB/Swiss-Prot and their corresponding protein structures of wildtype and disease variant from the protein data bank. The PSNs of the wildtype and disease-causing mutant are compared to analyse variation of global and local dissimilarity in the overall network and at specific sites. We study how a mutation at a given site can affect the structural network at a distant site which may be involved in the function of the protein. We have discussed specific examples of the disease cases where the protein structure undergoes limited structural divergence in their backbone but have large dissimilarity in their all atom networks and vice versa, wherein large conformational alterations are observed while retaining overall network. We analyse the effect of variation of network parameters that characterize alteration of function or stability. Frontiers Media S.A. 2021-03-10 /pmc/articles/PMC7987782/ /pubmed/33778000 http://dx.doi.org/10.3389/fmolb.2020.620554 Text en Copyright © 2021 Prabantu, Naveenkumar and Srinivasan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Prabantu, Vasam Manjveekar
Naveenkumar, Nagarajan
Srinivasan, Narayanaswamy
Influence of Disease-Causing Mutations on Protein Structural Networks
title Influence of Disease-Causing Mutations on Protein Structural Networks
title_full Influence of Disease-Causing Mutations on Protein Structural Networks
title_fullStr Influence of Disease-Causing Mutations on Protein Structural Networks
title_full_unstemmed Influence of Disease-Causing Mutations on Protein Structural Networks
title_short Influence of Disease-Causing Mutations on Protein Structural Networks
title_sort influence of disease-causing mutations on protein structural networks
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987782/
https://www.ncbi.nlm.nih.gov/pubmed/33778000
http://dx.doi.org/10.3389/fmolb.2020.620554
work_keys_str_mv AT prabantuvasammanjveekar influenceofdiseasecausingmutationsonproteinstructuralnetworks
AT naveenkumarnagarajan influenceofdiseasecausingmutationsonproteinstructuralnetworks
AT srinivasannarayanaswamy influenceofdiseasecausingmutationsonproteinstructuralnetworks