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Drug Discovery Today|July 5, 2008
Grid computing in large pharmaceutical molecular modelingBrian L Claus, Stephen R Johnson
Drug Discovery Today|May 25, 2011
To measure is to know: an approach to CADD performance metricsDeborah Loughney, Brian L Claus, Stephen R Johnson
Journal of Chemical Information and Modeling|July 2, 2013
3D matched pairs: integrating ligand- and structure-based knowledge for ligand design and receptor annotationShana L Posy, Brian L Claus, Matt E Pokross, et al.
RSC Medicinal Chemistry|March 6, 2025
Leveraging efficiency metrics for the optimization of CELMoDs™ as cereblon-based molecular glue degradersLei Jia, Jennifer R Riggs, Dahlia R Weiss, et al.
The Journal of Chemical Physics|February 24, 2020
Approaches for machine learning intermolecular interaction energies and application to energy components from symmetry adapted perturbation theoryDerek P Metcalf, Alexios Koutsoukas, Steven A Spronk, et al.
Drug Discovery Today|January 28, 2003
Discovery informatics: its evolving role in drug discoveryBrian L Claus, Dennis J Underwood
Journal of Chemical Information and Modeling|December 29, 2007
The trouble with QSAR (or how I learned to stop worrying and embrace fallacy)Stephen R Johnson
The AAPS Journal|April 6, 2006
Recent progress in the computational prediction of aqueous solubility and absorptionStephen R Johnson, Weifan Zheng
Journal of Chemical Information and Modeling|November 28, 2006
A novel method to simulate the hydrophobic effect and its application to the ranking of host/guest complexesArthur M Doweyko, Stephen R Johnson
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