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dc.contributor.authorBrown, Nathan
dc.contributor.authorErtl, Peter
dc.contributor.authorLewis, Richard
dc.contributor.authorLuksch, Torsten
dc.contributor.authorReker, Daniel
dc.contributor.authorSchneider, Nadine
dc.date.accessioned2021-09-20T17:20:19Z
dc.date.available2021-09-20T17:20:19Z
dc.date.issued2020-05-29
dc.identifier.urihttps://hdl.handle.net/1721.1/131545
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttps://doi.org/10.1007/s10822-020-00317-xen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer International Publishingen_US
dc.titleArtificial intelligence in chemistry and drug designen_US
dc.typeArticleen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentMIT-IBM Watson AI Lab
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-09-24T21:12:37Z
dc.language.rfc3066en
dc.rights.holderSpringer Nature Switzerland AG
dspace.embargo.termsY
dspace.date.submission2020-09-24T21:12:36Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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