How pairs of insertion mutations impact protein structure: an exhaustive computational study

Understanding how amino acid insertion mutations affect protein structure can inform pharmaceutical efforts targeting diseases that are caused by protein mutants. simulation of mutations complements experiments performed on physical proteins which are time and cost prohibitive. We have computational...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bioinformatics advances 2024, Vol.4 (1), p.vbae138
Hauptverfasser: Li, Changrui, Zheng, Yang, Jagodzinski, Filip
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page vbae138
container_title Bioinformatics advances
container_volume 4
creator Li, Changrui
Zheng, Yang
Jagodzinski, Filip
description Understanding how amino acid insertion mutations affect protein structure can inform pharmaceutical efforts targeting diseases that are caused by protein mutants. simulation of mutations complements experiments performed on physical proteins which are time and cost prohibitive. We have computationally generated the exhaustive sets of two amino acid insertion mutations for five protein structures in the Protein Data Bank. To probe and identify how pairs of insertions affect structural stability and flexibility, we tally the count of hydrogen bonds and analyze a variety of metrics of each mutant. We identify hotspots where pairs of insertions have a pronounced effect, and study how amino acid properties such as size and type, and insertion into alpha helices, affect a protein's structure. The findings show that although there are some residues, Proline and Tryptophan specifically, which if inserted have a significant impact on the protein's structure, there is also a great deal of variance in the effects of the exhaustive insertions both for any single protein, and across the five proteins. That suggests that computational or otherwise quantitative efforts should consider large representative sample sizes especially when training models to make predictions about the effects of insertions. The data underlying this article is available at https://multimute.cs.wwu.edu.
doi_str_mv 10.1093/bioadv/vbae138
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1093_bioadv_vbae138</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3146856531</sourcerecordid><originalsourceid>FETCH-LOGICAL-c220t-c9fcddb98d416f5abb4ae13f68808b0a46d0817b4269f61090edec3ac44611823</originalsourceid><addsrcrecordid>eNpNkD1PwzAYhC0EolXpyog8sqS1Y8dx2FAFFAmJBTakyF8RRkkc_FHovydVA2J6b3ju9N4BcInRCqOKrKV1Qu_WOykMJvwEzHNGigwhik__6RlYhvCBEMrLkmFKzsGMVKzkOSrm4G3rvuAgrA_QNdD2wfhoXQ-7FMVBBGi7QagIB--isT0M0ScVkzc3UPTQfL-LFKLdGahcN0wm0Y5Y0vsLcNaINpjldBfg9f7uZbPNnp4fHje3T5nKcxQzVTVKa1lxTTFrCiElPRRqGOeISyQo04jjUtKcVQ0bmyOjjSJCUcow5jlZgOtj7vjkZzIh1p0NyrSt6I1LoSaYMl6wguARXR1R5V0I3jT14G0n_L7GqD6MWh9HradRR8PVlJ1kZ_Qf_jsh-QGoJXbk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3146856531</pqid></control><display><type>article</type><title>How pairs of insertion mutations impact protein structure: an exhaustive computational study</title><source>Open Access: PubMed Central</source><source>DOAJ Directory of Open Access Journals</source><source>Open Access: Oxford University Press Open Journals</source><source>Free E-Journal (出版社公開部分のみ)</source><creator>Li, Changrui ; Zheng, Yang ; Jagodzinski, Filip</creator><contributor>Gogovi, Gideon</contributor><creatorcontrib>Li, Changrui ; Zheng, Yang ; Jagodzinski, Filip ; Gogovi, Gideon</creatorcontrib><description>Understanding how amino acid insertion mutations affect protein structure can inform pharmaceutical efforts targeting diseases that are caused by protein mutants. simulation of mutations complements experiments performed on physical proteins which are time and cost prohibitive. We have computationally generated the exhaustive sets of two amino acid insertion mutations for five protein structures in the Protein Data Bank. To probe and identify how pairs of insertions affect structural stability and flexibility, we tally the count of hydrogen bonds and analyze a variety of metrics of each mutant. We identify hotspots where pairs of insertions have a pronounced effect, and study how amino acid properties such as size and type, and insertion into alpha helices, affect a protein's structure. The findings show that although there are some residues, Proline and Tryptophan specifically, which if inserted have a significant impact on the protein's structure, there is also a great deal of variance in the effects of the exhaustive insertions both for any single protein, and across the five proteins. That suggests that computational or otherwise quantitative efforts should consider large representative sample sizes especially when training models to make predictions about the effects of insertions. The data underlying this article is available at https://multimute.cs.wwu.edu.</description><identifier>ISSN: 2635-0041</identifier><identifier>EISSN: 2635-0041</identifier><identifier>DOI: 10.1093/bioadv/vbae138</identifier><identifier>PMID: 39678205</identifier><language>eng</language><publisher>England</publisher><ispartof>Bioinformatics advances, 2024, Vol.4 (1), p.vbae138</ispartof><rights>The Author(s) 2024. Published by Oxford University Press.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c220t-c9fcddb98d416f5abb4ae13f68808b0a46d0817b4269f61090edec3ac44611823</cites><orcidid>0009-0001-6842-8594</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,861,4010,27904,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39678205$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gogovi, Gideon</contributor><creatorcontrib>Li, Changrui</creatorcontrib><creatorcontrib>Zheng, Yang</creatorcontrib><creatorcontrib>Jagodzinski, Filip</creatorcontrib><title>How pairs of insertion mutations impact protein structure: an exhaustive computational study</title><title>Bioinformatics advances</title><addtitle>Bioinform Adv</addtitle><description>Understanding how amino acid insertion mutations affect protein structure can inform pharmaceutical efforts targeting diseases that are caused by protein mutants. simulation of mutations complements experiments performed on physical proteins which are time and cost prohibitive. We have computationally generated the exhaustive sets of two amino acid insertion mutations for five protein structures in the Protein Data Bank. To probe and identify how pairs of insertions affect structural stability and flexibility, we tally the count of hydrogen bonds and analyze a variety of metrics of each mutant. We identify hotspots where pairs of insertions have a pronounced effect, and study how amino acid properties such as size and type, and insertion into alpha helices, affect a protein's structure. The findings show that although there are some residues, Proline and Tryptophan specifically, which if inserted have a significant impact on the protein's structure, there is also a great deal of variance in the effects of the exhaustive insertions both for any single protein, and across the five proteins. That suggests that computational or otherwise quantitative efforts should consider large representative sample sizes especially when training models to make predictions about the effects of insertions. The data underlying this article is available at https://multimute.cs.wwu.edu.</description><issn>2635-0041</issn><issn>2635-0041</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpNkD1PwzAYhC0EolXpyog8sqS1Y8dx2FAFFAmJBTakyF8RRkkc_FHovydVA2J6b3ju9N4BcInRCqOKrKV1Qu_WOykMJvwEzHNGigwhik__6RlYhvCBEMrLkmFKzsGMVKzkOSrm4G3rvuAgrA_QNdD2wfhoXQ-7FMVBBGi7QagIB--isT0M0ScVkzc3UPTQfL-LFKLdGahcN0wm0Y5Y0vsLcNaINpjldBfg9f7uZbPNnp4fHje3T5nKcxQzVTVKa1lxTTFrCiElPRRqGOeISyQo04jjUtKcVQ0bmyOjjSJCUcow5jlZgOtj7vjkZzIh1p0NyrSt6I1LoSaYMl6wguARXR1R5V0I3jT14G0n_L7GqD6MWh9HradRR8PVlJ1kZ_Qf_jsh-QGoJXbk</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Li, Changrui</creator><creator>Zheng, Yang</creator><creator>Jagodzinski, Filip</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0009-0001-6842-8594</orcidid></search><sort><creationdate>2024</creationdate><title>How pairs of insertion mutations impact protein structure: an exhaustive computational study</title><author>Li, Changrui ; Zheng, Yang ; Jagodzinski, Filip</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c220t-c9fcddb98d416f5abb4ae13f68808b0a46d0817b4269f61090edec3ac44611823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Changrui</creatorcontrib><creatorcontrib>Zheng, Yang</creatorcontrib><creatorcontrib>Jagodzinski, Filip</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Bioinformatics advances</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Changrui</au><au>Zheng, Yang</au><au>Jagodzinski, Filip</au><au>Gogovi, Gideon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How pairs of insertion mutations impact protein structure: an exhaustive computational study</atitle><jtitle>Bioinformatics advances</jtitle><addtitle>Bioinform Adv</addtitle><date>2024</date><risdate>2024</risdate><volume>4</volume><issue>1</issue><spage>vbae138</spage><pages>vbae138-</pages><issn>2635-0041</issn><eissn>2635-0041</eissn><abstract>Understanding how amino acid insertion mutations affect protein structure can inform pharmaceutical efforts targeting diseases that are caused by protein mutants. simulation of mutations complements experiments performed on physical proteins which are time and cost prohibitive. We have computationally generated the exhaustive sets of two amino acid insertion mutations for five protein structures in the Protein Data Bank. To probe and identify how pairs of insertions affect structural stability and flexibility, we tally the count of hydrogen bonds and analyze a variety of metrics of each mutant. We identify hotspots where pairs of insertions have a pronounced effect, and study how amino acid properties such as size and type, and insertion into alpha helices, affect a protein's structure. The findings show that although there are some residues, Proline and Tryptophan specifically, which if inserted have a significant impact on the protein's structure, there is also a great deal of variance in the effects of the exhaustive insertions both for any single protein, and across the five proteins. That suggests that computational or otherwise quantitative efforts should consider large representative sample sizes especially when training models to make predictions about the effects of insertions. The data underlying this article is available at https://multimute.cs.wwu.edu.</abstract><cop>England</cop><pmid>39678205</pmid><doi>10.1093/bioadv/vbae138</doi><orcidid>https://orcid.org/0009-0001-6842-8594</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2635-0041
ispartof Bioinformatics advances, 2024, Vol.4 (1), p.vbae138
issn 2635-0041
2635-0041
language eng
recordid cdi_crossref_primary_10_1093_bioadv_vbae138
source Open Access: PubMed Central; DOAJ Directory of Open Access Journals; Open Access: Oxford University Press Open Journals; Free E-Journal (出版社公開部分のみ)
title How pairs of insertion mutations impact protein structure: an exhaustive computational study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T14%3A31%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=How%20pairs%20of%20insertion%20mutations%20impact%20protein%20structure:%20an%20exhaustive%20computational%20study&rft.jtitle=Bioinformatics%20advances&rft.au=Li,%20Changrui&rft.date=2024&rft.volume=4&rft.issue=1&rft.spage=vbae138&rft.pages=vbae138-&rft.issn=2635-0041&rft.eissn=2635-0041&rft_id=info:doi/10.1093/bioadv/vbae138&rft_dat=%3Cproquest_cross%3E3146856531%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3146856531&rft_id=info:pmid/39678205&rfr_iscdi=true