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dc.contributor.authorFoscato, Marco
dc.contributor.authorVenkatraman, Vishwesh
dc.contributor.authorJensen, Vidar Remi
dc.date.accessioned2021-04-20T11:50:36Z
dc.date.available2021-04-20T11:50:36Z
dc.date.created2019-10-04T16:28:55Z
dc.date.issued2019
dc.PublishedJournal of Chemical Information and Modeling. 2019, 59 (10), 4077-4082.
dc.identifier.issn1549-9596
dc.identifier.urihttps://hdl.handle.net/11250/2738665
dc.description.abstractA general-purpose software package, termed DE Novo OPTimization of In/organic Molecules (DENOPTIM), for de novo design and virtual screening of functional molecules is described. Molecules of any element and kind, including metastable species and transition states, are handled as chemical objects that go beyond valence-rules representations. Synthetic accessibility of the generated molecules is ensured via detailed control of the kinds of bonds that are allowed to form in the automated molecular building process. DENOPTIM contains a combinatorial explorer for screening and a genetic algorithm for global optimization of user-defined properties. Estimates of these properties may be obtained to form the fitness function (figure of merit or scoring function) from external molecular modeling programs via shell scripts. Examples of a range of different fitness functions and DENOPTIM applications, including an easy-to-do test case, are described. DENOPTIM is available as Open Source from https://github.com/denoptim-project/DENOPTIM.en_US
dc.language.isoengen_US
dc.publisherACSen_US
dc.titleDENOPTIM: Software for Computational de Novo Design of Organic and Inorganic Moleculesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright 2019 American Chemical Societyen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doi10.1021/acs.jcim.9b00516
dc.identifier.cristin1734019
dc.source.journalJournal of Chemical Information and Modelingen_US
dc.source.4059
dc.source.1410
dc.source.pagenumber4077-4082en_US
dc.relation.projectNorges forskningsråd: 262152en_US
dc.relation.projectNorges forskningsråd: 262370en_US
dc.relation.projectNorges forskningsråd: 205273en_US
dc.relation.projectNotur/NorStore: NN2506Ken_US
dc.relation.projectNorges forskningsråd: 233776en_US
dc.relation.projectNotur/NorStore: NS2506Ken_US
dc.identifier.citationJournal of Chemical Information and Modeling. 2019, 59 (10), 4077–4082en_US
dc.source.volume59en_US
dc.source.issue10en_US


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