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Volumn 9, Issue 6, 2002, Pages 849-864
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Predicting CNS permeability of drug molecules: Comparison of neural network and support vector machine algorithms
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Author keywords
Blood brain barrier; Central nervous system; Kernel methods; Machine learning algorithms; Neural net; Predictive methods; Support vector machine
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Indexed keywords
ACETYLSALICYLIC ACID;
ADRENALIN;
ALLOPURINOL;
AMINOPHYLLINE;
AMIODARONE;
ASTEMIZOLE;
ATROPINE;
BETAMETHASONE;
CARBENICILLIN;
CARBIDOPA;
CEFAPIRIN;
CEFAZOLIN;
CHLORAMPHENICOL;
CHLOROTHIAZIDE;
CHLORTALIDONE;
CLOFIBRATE;
CORTISONE;
COUMARIN;
DAPSONE;
DEXAMETHASONE;
DICYCLOVERINE;
DIGITOXIN;
DIGOXIN;
DOPAMINE;
DOXORUBICIN;
ECONAZOLE;
ENKEPHALIN;
PARACETAMOL;
SALBUTAMOL;
UNINDEXED DRUG;
ALGORITHM;
ANALYTIC METHOD;
ARTICLE;
CENTRAL NERVOUS SYSTEM;
COMPARATIVE STUDY;
DATA ANALYSIS;
DIFFUSION;
DRUG FORMULATION;
DRUG PENETRATION;
HYDROGEN BOND;
LIPOPHILICITY;
MACHINE;
MOLECULAR WEIGHT;
MOLECULE;
NERVE CELL NETWORK;
PARAMETER;
PERFORMANCE;
PREDICTION;
PRIORITY JOURNAL;
TASK PERFORMANCE;
TRAINING;
ALGORITHMS;
BLOOD-BRAIN BARRIER;
CENTRAL NERVOUS SYSTEM;
MOLECULAR STRUCTURE;
NEURAL NETWORKS (COMPUTER);
PERMEABILITY;
PHARMACEUTICAL PREPARATIONS;
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EID: 12244271454
PISSN: 10665277
EISSN: None
Source Type: Journal
DOI: 10.1089/10665270260518317 Document Type: Article |
Times cited : (144)
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References (12)
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