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Current Topics in Medicinal Chemistry|December 17, 2008
Medicinal chemistry and the molecular operating environment (MOE): application of QSAR and molecular docking to drug discoverySantiago Vilar, Giorgio Cozza, Stefano MoroCurrent Topics in Medicinal Chemistry|December 17, 2008
Artificial neural networks from MATLAB in medicinal chemistry. Bayesian-regularized genetic neural networks (BRGNN): application to the prediction of the antagonistic activity against human platelet thrombin receptor (PAR-1)Julio Caballero, Michael FernándezCurrent Topics in Medicinal Chemistry|December 17, 2008
Variable selection methods in QSAR: an overviewMaykel Pérez González, Carmen Terán, Liane Saíz-Urra, et al.Current Topics in Medicinal Chemistry|December 17, 2008
Weka machine learning for predicting the phospholipidosis inducing potentialOvidiu IvanciucCurrent Topics in Medicinal Chemistry|July 29, 2004
Endotoxins: relationships between structure, function, and activityKlaus Brandenburg, Andre WieseCurrent Topics in Medicinal Chemistry|September 27, 2005
Strategy of utilizing in vitro and in vivo ADME tools for lead optimization and drug candidate selectionSuresh K Balani, Gerald T Miwa, Liang-Shang Gan, et al.Current Topics in Medicinal Chemistry|September 27, 2005
Is there a placebo problem in antidepressant trials?Huaiyu Yang, Cristina Cusin, Maurizio FavaCurrent Topics in Medicinal Chemistry|November 6, 2007
The SeeDs approach: integrating fragments into drug discoveryRoderick E Hubbard, Ben Davis, Ijen Chen, et al.Current Topics in Medicinal Chemistry|November 6, 2007
Fragment based drug discovery using fluorescence correlation: spectroscopy techniques: challenges and solutionsT Hesterkamp, J Barker, A Davenport, et al.Current Topics in Medicinal Chemistry|November 6, 2007
Relevance of the neuropeptide Y system in the biology of cancer progressionM Ruscica, E Dozio, M Motta, et al.Pageof 421