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Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands

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Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands

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dc.contributor.author Warszycki, Dawid pl
dc.contributor.author Śmieja, Marek [SAP14005333] pl
dc.contributor.author Kafel, Rafał pl
dc.date.accessioned 2017-05-29T14:00:20Z
dc.date.available 2017-05-29T14:00:20Z
dc.date.issued 2017 pl
dc.identifier.issn 1381-1991 pl
dc.identifier.uri http://ruj.uj.edu.pl/xmlui/handle/item/40935
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa 3.0 Polska *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/pl/legalcode *
dc.title Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands pl
dc.type JournalArticle pl
dc.description.physical 407-412 pl
dc.description.volume 21 pl
dc.description.number 2 pl
dc.identifier.doi 10.1007/s11030-017-9729-8 pl
dc.identifier.eissn 1573-501X pl
dc.title.journal Molecular Diversity pl
dc.language.container eng pl
dc.affiliation Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej pl
dc.subtype Article pl
dc.rights.original CC-BY; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0; pl
.pointsMNiSW [2017 A]: 30


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Udzielam licencji. Uznanie autorstwa 3.0 Polska Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 3.0 Polska