SCOPUS 정보 검색 플랫폼

Volumn 23, Issue 1, 2013, Pages 261-263

QSAR investigation of NaV1.7 active compounds using the SVM/Signature approach and the Bioclipse Modeling platform

Author keywords

Bioclipse Modeling; Machine learning; NaV1.7; Signature descriptors; Support vectors machines; SVM

Indexed keywords

SODIUM CHANNEL AFFECTING AGENT; SODIUM CHANNEL NAV1.7;

ARTICLE; BIOLOGICAL ACTIVITY; COMPUTER MODEL; DRUG STRUCTURE; KERNEL METHOD; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE;

MODELS, MOLECULAR; NAV1.7 VOLTAGE-GATED SODIUM CHANNEL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SUPPORT VECTOR MACHINES;

EID: 84870984474 PISSN: 0960894X EISSN: 14643405 Source Type: Journal
DOI: 10.1016/j.bmcl.2012.10.102 Document Type: Article

Times cited : (12)

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