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Expert Opinion on Drug Discovery|June 2, 2012
Using artificial neural networks to predict cell-penetrating compoundsMati Karelson, Dimitar DobchevExpert Opinion on Drug Discovery|May 6, 2016
Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?Dimitar Dobchev, Mati KarelsonJournal of Chemical Information and Modeling|May 15, 2007
QSPR study of critical micelle concentration of anionic surfactants using computational molecular descriptorsAlan R Katritzky, Liliana Pacureanu, Dimitar Dobchev, et al.Journal of Molecular Modeling|June 16, 2007
QSPR modeling of hyperpolarizabilitiesAlan R Katritzky, Liliana Pacureanu, Dimitar Dobchev, et al.Molecules (Basel, Switzerland)|December 23, 2022
The Impact of Software Used and the Type of Target Protein on Molecular Docking AccuracyLarisa Ivanova, Mati KarelsonComputers & Chemistry|March 1, 2002
QSPR models derived for the kinetic data of the gas-phase homolysis of the carbon-methyl bondRein Hiob, Mati KarelsonMethods in Molecular Biology (Clifton, N.J.)|July 24, 2015
Prediction of Cell-Penetrating PeptidesMattias Hällbrink, Mati KarelsonJournal of Chemical Information and Computer Sciences|March 26, 2002
A general QSPR treatment for dielectric constants of organic compoundsSulev Sild, Mati KarelsonJournal of Molecular Modeling|January 13, 2006
Reparameterized Austin Model 1 for quantitative structure-property relationships in liquid mediaDimitar A Dobchev, Mati KarelsonComputers & Chemistry|July 26, 2002
'Strain effect' descriptors for ATP and ADP derivatives with modified phosphate groupsKatrin Sak, Jaak Järv, Mati KarelsonPageof 9