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Volumn 9, Issue 4, 2003, Pages 242-247

Quantitative structure-diastereoselectivity relationships for arylsulfoxide derivatives in radical chemistry

Author keywords

Artificial neural network; Arylsufoxides; Descriptors contribution; Multiple linear regression; Structure diastereoselectivity

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; CHEMICAL PARAMETERS; CHEMICAL STRUCTURE; CONTROLLED STUDY; INTERMETHOD COMPARISON; PHARMACOPHORE; PRIORITY JOURNAL; SCREENING; STRUCTURE ANALYSIS;

EID: 0141941546     PISSN: 16102940     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00894-003-0136-y     Document Type: Article
Times cited : (3)

References (34)
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    • Data pro Qnet 2000 for Windows V2 K build neutral network modeling
    • Vesta Services, Winnetka, Ill
    • Data pro Qnet 2000 for Windows V2 K build neutral network modeling. Vesta Services, Winnetka, Ill.
  • 27
    • 0012975762 scopus 로고
    • Statistical methods for chemical experimentation
    • Interscience, New York
    • Gore WL (1952) Statistical methods for chemical experimentation. Interscience, New York, p 141
    • (1952) , pp. 141
    • Gore, W.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.