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Protein inter- residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14
dc.contributor.authorLi, Yang
dc.contributor.authorZhang, Chengxin
dc.contributor.authorZheng, Wei
dc.contributor.authorZhou, Xiaogen
dc.contributor.authorBell, Eric W.
dc.contributor.authorYu, Dong‐Jun
dc.contributor.authorZhang, Yang
dc.date.accessioned2021-12-02T02:28:19Z
dc.date.available2023-01-01 21:28:17en
dc.date.available2021-12-02T02:28:19Z
dc.date.issued2021-12
dc.identifier.citationLi, Yang; Zhang, Chengxin; Zheng, Wei; Zhou, Xiaogen; Bell, Eric W.; Yu, Dong‐Jun ; Zhang, Yang (2021). "Protein inter- residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14." Proteins: Structure, Function, and Bioinformatics 89(12): 1911-1921.
dc.identifier.issn0887-3585
dc.identifier.issn1097-0134
dc.identifier.urihttps://hdl.handle.net/2027.42/170949
dc.description.abstractThis article reports and analyzes the results of protein contact and distance prediction by our methods in the 14th Critical Assessment of techniques for protein Structure Prediction (CASP14). A new deep learning- based contact/distance predictor was employed based on the ensemble of two complementary coevolution features coupling with deep residual networks. We also improved our multiple sequence alignment (MSA) generation protocol with wholesale meta- genome sequence databases. On 22 CASP14 free modeling (FM) targets, the proposed model achieved a top- L/5 long- range precision of 63.8% and a mean distance bin error of 1.494. Based on the predicted distance potentials, 11 out of 22 FM targets and all of the 14 FM/template- based modeling (TBM) targets have correctly predicted folds (TM- score >0.5), suggesting that our approach can provide reliable distance potentials for ab initio protein folding.
dc.publisherJohn Wiley & Sons, Inc.
dc.subject.otherCASP
dc.subject.othercoevolution
dc.subject.othercontact- map prediction
dc.subject.otherdeep learning
dc.subject.otherprotein structure prediction
dc.titleProtein inter- residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelBiological Chemistry
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/170949/1/prot26211_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/170949/2/prot26211-sup-0001-supinfo.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/170949/3/prot26211.pdf
dc.identifier.doi10.1002/prot.26211
dc.identifier.sourceProteins: Structure, Function, and Bioinformatics
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dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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