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Journal of Chemical Information and Computer Sciences|October 26, 1999
Automated pharmacophore identification for large chemical data setsX Chen, A Rusinko, A Tropsha, et al.Journal of Chemical Information and Computer Sciences|December 30, 1999
Predictive carcinogenicity: a model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural networkG Gini, M Lorenzini, E Benfenati, et al.Journal of Chemical Information and Computer Sciences|December 30, 1999
Structure-activity relationship studies of carcinogenic activity of polycyclic aromatic hydrocarbons using calculated molecular descriptors with principal component analysis and neural network methodsR Vendrame, R S Braga, Y Takahata, et al.Journal of Chemical Information and Computer Sciences|December 30, 1999
Structure based prediction of binding affinity of human immunodeficiency virus-1 protease inhibitorsS S Kulkarni, V M KulkarniJournal of Chemical Information and Computer Sciences|February 8, 2000
Fullerene data mining using bibliometrics and database tomographyKostoff, Braun, Schubert, et al.Journal of Chemical Information and Computer Sciences|February 8, 2000
Pharmacophore fingerprinting. 2. Application to primary library designM J McGregor, S M MuskalJournal of Chemical Information and Computer Sciences|February 8, 2000
Discrimination and molecular design of new theoretical hypolipaemic agents using the molecular connectivity functionsCercos-del-Pozo, Perez-Gimenez, Salabert-Salvador, et al.Journal of Chemical Information and Computer Sciences|June 11, 1999
Pharmacophore fingerprinting. 1. Application to QSAR and focused library designM J McGregor, S M MuskalJournal of Chemical Information and Computer Sciences|April 8, 1999
Indexing scheme and similarity measures for macromolecular sequencesC Raychaudhury, A NandyJournal of Chemical Information and Computer Sciences|April 8, 1999
Prediction of the brain-blood distribution of a large set of drugs from structurally derived descriptors using partial least-squares (PLS) modelingJ M LucoPageof 132