PubChem structure-activity relationship (SAR) clusters.

Kim, Sunghwan; Han, Lianyi; Yu, Bo; Hähnke, Volker D; Bolton, Evan E; Bryant, Stephen H

Kim, Sunghwan; Han, Lianyi; Yu, Bo; Hähnke, Volker D; Bolton, Evan E; Bryant, Stephen H.

Afiliação

Kim S; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 8600 Rockville Pike, Bethesda, MD 20894 USA.
Han L; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 8600 Rockville Pike, Bethesda, MD 20894 USA.
Yu B; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 8600 Rockville Pike, Bethesda, MD 20894 USA.
Hähnke VD; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 8600 Rockville Pike, Bethesda, MD 20894 USA.
Bolton EE; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 8600 Rockville Pike, Bethesda, MD 20894 USA.
Bryant SH; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 8600 Rockville Pike, Bethesda, MD 20894 USA.

J Cheminform ; 7: 33, 2015.

Article em En | MEDLINE | ID: mdl-26150895

Palavras-chave

BioSystems; Cluster analysis; MeSH; Molecular similarity; PubChem; PubChem3D; Structureactivity relationship (SAR)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Cheminform Ano de publicação: 2015 Tipo de documento: Article