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dc.contributor.authorZhang, Genwei
dc.contributor.authorLi, Chengxi
dc.contributor.authorQuartararo, Anthony J
dc.contributor.authorLoas, Andrei
dc.contributor.authorPentelute, Bradley L
dc.date.accessioned2022-03-15T18:54:15Z
dc.date.available2022-03-15T18:54:15Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/141202
dc.description.abstract<jats:p>This work reports an automated affinity selection-mass spectrometry (AS-MS) approach amenable to both <jats:italic>de novo</jats:italic> peptide binder discovery and affinity maturation of known binders in a high-throughput and selective manner.</jats:p>en_US
dc.language.isoen
dc.publisherRoyal Society of Chemistry (RSC)en_US
dc.relation.isversionof10.1039/D1SC02587Ben_US
dc.rightsCreative Commons Attribution 3.0 unported licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.sourceRoyal Society of Chemistry (RSC)en_US
dc.titleAutomated affinity selection for rapid discovery of peptide bindersen_US
dc.typeArticleen_US
dc.identifier.citationZhang, Genwei, Li, Chengxi, Quartararo, Anthony J, Loas, Andrei and Pentelute, Bradley L. 2021. "Automated affinity selection for rapid discovery of peptide binders." Chemical Science, 12 (32).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistry
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Center for Environmental Health Sciences
dc.relation.journalChemical Scienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-03-15T18:51:37Z
dspace.orderedauthorsZhang, G; Li, C; Quartararo, AJ; Loas, A; Pentelute, BLen_US
dspace.date.submission2022-03-15T18:51:38Z
mit.journal.volume12en_US
mit.journal.issue32en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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