Modelling blood-brain barrier partitioning using Bayesian neural nets

Journal of Molecular Graphics and Modelling

Volumn 22, Issue 6, 2004, Pages 499-505

  Winkler, David A ^a,b   Burden, Frank R ^b,c  

^a CSIRO   (Australia)

^b MONASH UNIVERSITY   (Australia)

^c Scimetrics   (Australia)

Author keywords

ADMET; ARD; Bayesian methods; Blood brain barrier; Neural net; QSAR

Indexed keywords

BLOOD; BRAIN; DRUG PRODUCTS; MATHEMATICAL MODELS; NEURAL NETWORKS;

AUTOMATIC RELEVANCE DETERMINATION (ARD); BLOOD-BRAIN BARRIERS (BBB);

NEUROLOGY;

ANALYTIC METHOD; ANALYTICAL PARAMETERS; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BLOOD BRAIN BARRIER; CONFERENCE PAPER; MOLECULAR MODEL; PARTITION COEFFICIENT; PRIORITY JOURNAL;

BAYES THEOREM; BLOOD-BRAIN BARRIER; DATABASES, FACTUAL; DRUG DESIGN; HUMANS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PERMEABILITY; PHARMACEUTICAL PREPARATIONS; PHARMACOKINETICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 2942538155     PISSN: 10933263     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmgm.2004.03.010     Document Type: Conference Paper

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