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Results: 1-11 |
Results: 11
Internet laboratory for predicting harmful effects triggered by drugs and chemicals. Concept and call for co-operation
Authors: Vedani, A Dobler, M
Citation: A. Vedani et M. Dobler, Internet laboratory for predicting harmful effects triggered by drugs and chemicals. Concept and call for co-operation, ALTEX-AL TI, 18(2), 2001, pp. 110-114
Induced fit - The key for understanding LSD activity? A 4D-QSAR study on the 5-HT2A receptor system
Authors: Streich, D Neuburger-Zehnder, M Vedani, A
Citation: D. Streich et al., Induced fit - The key for understanding LSD activity? A 4D-QSAR study on the 5-HT2A receptor system, QSAR, 19(6), 2001, pp. 565-573
Multi-conformational ligand representation in 4D-QSAR: Reducing the bias associated with ligand alignment
Authors: Vedani, A McMasters, DR Dobler, M
Citation: A. Vedani et al., Multi-conformational ligand representation in 4D-QSAR: Reducing the bias associated with ligand alignment, QSAR, 19(2), 2000, pp. 149-161
Multiple-conformation and protonation-state representation in 4D-QSAR: Theneurokinin-1 receptor system
Authors: Vedani, A Briem, K Dobler, M Dollinger, H McMasters, DR
Citation: A. Vedani et al., Multiple-conformation and protonation-state representation in 4D-QSAR: Theneurokinin-1 receptor system, J MED CHEM, 43(23), 2000, pp. 4416-4427
Multi-dimensional QSAR in drug research - Predicting binding affinities, toxicity and pharmacokinetic parameters
Authors: Vedani, A Dobler, M
Citation: A. Vedani et M. Dobler, Multi-dimensional QSAR in drug research - Predicting binding affinities, toxicity and pharmacokinetic parameters, PROG DRUG R, 55, 2000, pp. 105-135
Genetic algorithms in 3D-QSAR: The use of multiple ligand orientations forimproved predictions toxicity.
Authors: Vedani, A McMasters, DR Dobler, M
Citation: A. Vedani et al., Genetic algorithms in 3D-QSAR: The use of multiple ligand orientations forimproved predictions toxicity., ALTEX-AL TI, 16(3), 1999, pp. 142-145
Genetic algorithms in 3D-QSAR: Predicting the toxicity of dibenzodioxins, dibenzofurans and biphenyls
Authors: Vedani, A McMasters, DR Dobler, M
Citation: A. Vedani et al., Genetic algorithms in 3D-QSAR: Predicting the toxicity of dibenzodioxins, dibenzofurans and biphenyls, ALTEX-AL TI, 16(1), 1999, pp. 9-14
Quasi-atomistic receptor surrogates for the 5-HT2A receptor: A 3D-QSAR study on hallucinogenic substances
Authors: Schulze-Alexandru, M Kovar, KA Vedani, A
Citation: M. Schulze-alexandru et al., Quasi-atomistic receptor surrogates for the 5-HT2A receptor: A 3D-QSAR study on hallucinogenic substances, QSAR, 18(6), 1999, pp. 548-560
Ochratoxin binding to phenylalanyl-tRNA synthetase: Computational approachto the mechanism of ochratoxicosis and its antagonism
Authors: McMasters, DR Vedani, A
Citation: Dr. Mcmasters et A. Vedani, Ochratoxin binding to phenylalanyl-tRNA synthetase: Computational approachto the mechanism of ochratoxicosis and its antagonism, J MED CHEM, 42(16), 1999, pp. 3075-3086
Replacing animal testing by virtual experiments: A challenge in computational chemistry
Authors: Vedani, A
Citation: A. Vedani, Replacing animal testing by virtual experiments: A challenge in computational chemistry, CHIMIA, 53(5), 1999, pp. 227-228
Ochratoxins: Molecular strategies for developing an antidote
Authors: McMasters, DR Vedani, A
Citation: Dr. Mcmasters et A. Vedani, Ochratoxins: Molecular strategies for developing an antidote, ALTEX-AL TI, 15(4), 1998, pp. 218-221
Risultati: 1-11 |