BROWSE

Related Scientist

john,mcbride's photo.

john,mcbride
인공지능및로봇기반합성연구단
more info

ITEM VIEW & DOWNLOAD

AlphaFold2 Can Predict Single-Mutation Effects

DC Field Value Language
dc.contributor.authorJohn M. Mcbride-
dc.contributor.authorKonstantin Polev-
dc.contributor.authorAbdirasulov, Amirbek-
dc.contributor.authorVladimir Reinharz-
dc.contributor.authorBartosz A. Grzybowski-
dc.contributor.authorTsvi Tlusty-
dc.date.accessioned2023-12-29T22:00:37Z-
dc.date.available2023-12-29T22:00:37Z-
dc.date.created2023-12-11-
dc.date.issued2023-11-
dc.identifier.issn0031-9007-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/14427-
dc.description.abstractAlphaFold2 (AF) is a promising tool, but is it accurate enough to predict single mutation effects Here, we report that the localized structural deformation between protein pairs differing by only 1-3 mutations - as measured by the effective strain - is correlated across 3901 experimental and AF-predicted structures. Furthermore, analysis of ∼11 000 proteins shows that the local structural change correlates with various phenotypic changes. These findings suggest that AF can predict the range and magnitude of single-mutation effects on average, and we propose a method to improve precision of AF predictions and to indicate when predictions are unreliable. © 2023 American Physical Society.-
dc.language영어-
dc.publisherAmerican Physical Society-
dc.titleAlphaFold2 Can Predict Single-Mutation Effects-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid001144853000004-
dc.identifier.scopusid2-s2.0-85178462590-
dc.identifier.rimsid82177-
dc.contributor.affiliatedAuthorJohn M. Mcbride-
dc.contributor.affiliatedAuthorKonstantin Polev-
dc.contributor.affiliatedAuthorVladimir Reinharz-
dc.contributor.affiliatedAuthorBartosz A. Grzybowski-
dc.contributor.affiliatedAuthorTsvi Tlusty-
dc.identifier.doi10.1103/PhysRevLett.131.218401-
dc.identifier.bibliographicCitationPhysical Review Letters, v.131, no.21-
dc.relation.isPartOfPhysical Review Letters-
dc.citation.titlePhysical Review Letters-
dc.citation.volume131-
dc.citation.number21-
dc.type.docTypeReview-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryPhysics, Multidisciplinary-
dc.subject.keywordPlusPROTEIN STRUCTURES-
dc.subject.keywordPlusFLEXIBILITY-
dc.subject.keywordPlusLANDSCAPE-
dc.subject.keywordPlusDISEASE-
dc.subject.keywordPlusMODELS-
dc.subject.keywordPlusSETS-
dc.subject.keywordPlusNMR-
Appears in Collections:
Center for Soft and Living Matter(첨단연성물질 연구단) > 1. Journal Papers (저널논문)
Files in This Item:
There are no files associated with this item.

qrcode

  • facebook

    twitter

  • Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse