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New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions
Understanding protein sequences and how they relate to the functions of proteins is extremely important. One of the most basic operations in bioinformatics is sequence alignment and usually the first things learned from these are which positions are the most conserved and often these are critical pa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602800/ https://www.ncbi.nlm.nih.gov/pubmed/37900964 http://dx.doi.org/10.3389/fbinf.2023.1227193 |
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author | Jia, Kejue Kilinc, Mesih Jernigan, Robert L. |
author_facet | Jia, Kejue Kilinc, Mesih Jernigan, Robert L. |
author_sort | Jia, Kejue |
collection | PubMed |
description | Understanding protein sequences and how they relate to the functions of proteins is extremely important. One of the most basic operations in bioinformatics is sequence alignment and usually the first things learned from these are which positions are the most conserved and often these are critical parts of the structure, such as enzyme active site residues. In addition, the contact pairs in a protein usually correspond closely to the correlations between residue positions in the multiple sequence alignment, and these usually change in a systematic and coordinated way, if one position changes then the other member of the pair also changes to compensate. In the present work, these correlated pairs are taken as anchor points for a new type of sequence alignment. The main advantage of the method here is its combining the remote homolog detection from our method PROST with pairwise sequence substitutions in the rigorous method from Kleinjung et al. We show a few examples of some resulting sequence alignments, and how they can lead to improvements in alignments for function, even for a disordered protein. |
format | Online Article Text |
id | pubmed-10602800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106028002023-10-28 New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions Jia, Kejue Kilinc, Mesih Jernigan, Robert L. Front Bioinform Bioinformatics Understanding protein sequences and how they relate to the functions of proteins is extremely important. One of the most basic operations in bioinformatics is sequence alignment and usually the first things learned from these are which positions are the most conserved and often these are critical parts of the structure, such as enzyme active site residues. In addition, the contact pairs in a protein usually correspond closely to the correlations between residue positions in the multiple sequence alignment, and these usually change in a systematic and coordinated way, if one position changes then the other member of the pair also changes to compensate. In the present work, these correlated pairs are taken as anchor points for a new type of sequence alignment. The main advantage of the method here is its combining the remote homolog detection from our method PROST with pairwise sequence substitutions in the rigorous method from Kleinjung et al. We show a few examples of some resulting sequence alignments, and how they can lead to improvements in alignments for function, even for a disordered protein. Frontiers Media S.A. 2023-10-12 /pmc/articles/PMC10602800/ /pubmed/37900964 http://dx.doi.org/10.3389/fbinf.2023.1227193 Text en Copyright © 2023 Jia, Kilinc and Jernigan. https://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 | Bioinformatics Jia, Kejue Kilinc, Mesih Jernigan, Robert L. New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions |
title | New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions |
title_full | New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions |
title_fullStr | New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions |
title_full_unstemmed | New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions |
title_short | New alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions |
title_sort | new alignment method for remote protein sequences by the direct use of pairwise sequence correlations and substitutions |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602800/ https://www.ncbi.nlm.nih.gov/pubmed/37900964 http://dx.doi.org/10.3389/fbinf.2023.1227193 |
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