Prediction of Caco-2 cell permeability using a combination of MO-calculation and neural network

International Journal of Pharmaceutics

Volumn 237, Issue 1-2, 2002, Pages 95-105

  Fujiwara, Shin Ichi ^a   Yamashita, Fumiyoshi ^a   Hashida, Mitsuru ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

Caco 2 cells; Intestinal absorption; Molecular structure; Neural networks; Permeability

Indexed keywords

ACEBUTOLOL; ACETYLSALICYLIC ACID; ACICLOVIR; ALPRENOLOL; AMINOPHENAZONE; ARTEMISININ; ARTESUNATE; ATENOLOL; AZITHROMYCIN; BETAXOLOL; BREMAZOCINE; CHLORAMPHENICOL; CHLOROTHIAZIDE; CHLORPROMAZINE; CIMETIDINE; CLONIDINE; CORTICOSTERONE; DESIPRAMINE; DEXAMETHASONE; DIAZEPAM; DOPAMINE; DOXORUBICIN; ERYTHROMYCIN; ESTRADIOL; FELODIPINE; HYDROGEN; NITROGEN; OXYGEN; PENICILLIN G; UNINDEXED DRUG;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATOM; CALCULATION; CELL MEMBRANE PERMEABILITY; CELL STRAIN CACO 2; CHEMICAL STRUCTURE; CONTROLLED STUDY; CORRELATION ANALYSIS; HUMAN; HUMAN CELL; HYDROGEN BOND; LINEAR REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL;

CACO-2 CELLS; CELL MEMBRANE PERMEABILITY; HUMANS; MOLECULAR STRUCTURE; NEURAL NETWORKS (COMPUTER); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 0037177509     PISSN: 03785173     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-5173(02)00045-5     Document Type: Article

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