Quantitative structure-activity relationship prediction of blood-to-brain partitioning behavior using support vector machine

European Journal of Pharmaceutical Sciences

Volumn 47, Issue 2, 2012, Pages 421-429

  Golmohammadi, Hassan ^a   Dashtbozorgi, Zahra ^b   Acree Jr , William E ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

Blood to brain barrier partitioning; Partial least squares; Quantitative structure activity relationship; Support vector machine

Indexed keywords

ALGORITHM; ARTICLE; BLOOD BRAIN BARRIER; CHEMICAL STRUCTURE; CHEMOMETRICS; DRUG PENETRATION; MOLECULAR MODEL; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE;

BLOOD-BRAIN BARRIER; LEAST-SQUARES ANALYSIS; MOLECULAR STRUCTURE; PHARMACEUTICAL PREPARATIONS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SUPPORT VECTOR MACHINES;

EID: 84864346941     PISSN: 09280987     EISSN: 18790720     Source Type: Journal    
DOI: 10.1016/j.ejps.2012.06.021     Document Type: Article

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