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dc.contributor.authorChen, Nelson G.en_US
dc.date.accessioned2017-04-21T06:56:30Z-
dc.date.available2017-04-21T06:56:30Z-
dc.date.issued2016-08en_US
dc.identifier.issn1381-1991en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11030-016-9674-yen_US
dc.identifier.urihttp://hdl.handle.net/11536/133873-
dc.description.abstractRequiring that randomly generated chemical fingerprint libraries have unique fingerprints such that no two fingerprints are identical causes a systematic skew in bit occurrence frequencies, the proportion at which specified bits are set. Observed frequencies (O) at which each bit is set within the resulting libraries systematically differ from frequencies at which bits are set at fingerprint generation (E). Observed frequencies systematically skew toward 0.5, with the effect being more pronounced as library size approaches the compound space, which is the total number of unique possible fingerprints given the number of bit positions each fingerprint contains. The effect is quantified for varying library sizes as a fraction of the overall compound space, and for changes in the specified frequency E. The cause and implications for this systematic skew are subsequently discussed. When generating random libraries of chemical fingerprints, the imposition of a uniqueness requirement should either be avoided or taken into account.en_US
dc.language.isoen_USen_US
dc.subjectAlgorithmen_US
dc.subjectMolecular modelingen_US
dc.subjectFingerprintsen_US
dc.subjectSimulationen_US
dc.titleUniqueness: skews bit occurrence frequencies in randomly generated fingerprint librariesen_US
dc.identifier.doi10.1007/s11030-016-9674-yen_US
dc.identifier.journalMOLECULAR DIVERSITYen_US
dc.citation.volume20en_US
dc.citation.issue3en_US
dc.citation.spage741en_US
dc.citation.epage745en_US
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.identifier.wosnumberWOS:000379259200015en_US
Appears in Collections:Articles