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Markus A Lill

Showing results (21-30 of 84) with videos related to

Pageof 9
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Molecular Informatics|August 2, 2016
Towards a Realistic Representation in Surface-Based Pseudoreceptor Modeling: a PDB-Wide Analysis of Binding PocketsGregory L Wilson, Markus A Lill
Proteins|February 10, 2015
Substrate tunnels in enzymes: structure-function relationships and computational methodologyLaura J Kingsley, Markus A Lill
Methods in Molecular Biology (Clifton, N.J.)|April 29, 2017
WATsite2.0 with PyMOL Plugin: Hydration Site Prediction and VisualizationYing Yang, Bingjie Hu, Markus A Lill
Basic & Clinical Pharmacology & Toxicology|August 26, 2006
The challenge of predicting drug toxicity in silicoAngelo Vedani, Max Dobler, Markus A Lill
ALTEX|September 28, 2005
Virtual test kits for predicting harmful effects triggered by drugs and chemicals mediated by specific proteinsAngelo Vedani, Max Dobler, Markus A Lill
Journal of Medicinal Chemistry|May 27, 2005
Combining protein modeling and 6D-QSAR. Simulating the binding of structurally diverse ligands to the estrogen receptorAngelo Vedani, Max Dobler, Markus A Lill
ALTEX|May 24, 2003
Internet laboratory for predicting harmful effects triggered by drugs and chemicals--a progress reportAngelo Vedani, Max Dobler, Markus A Lill
Journal of Medicinal Chemistry|November 30, 2004
Raptor: combining dual-shell representation, induced-fit simulation, and hydrophobicity scoring in receptor modeling: application toward the simulation of structurally diverse ligand setsMarkus A Lill, Angelo Vedani, Max Dobler
Toxicology and Applied Pharmacology|July 28, 2005
In silico prediction of harmful effects triggered by drugs and chemicalsAngelo Vedani, Max Dobler, Markus A Lill
Journal of Chemical Information and Modeling|September 26, 2014
Analysis of factors influencing hydration site prediction based on molecular dynamics simulationsYing Yang, Bingjie Hu, Markus A Lill
Pageof 9

Showing results (21-30 of 84) with videos related to

Sort By:
Pageof 9
Molecular Informatics|August 2, 2016
Towards a Realistic Representation in Surface-Based Pseudoreceptor Modeling: a PDB-Wide Analysis of Binding PocketsGregory L Wilson, Markus A Lill
Proteins|February 10, 2015
Substrate tunnels in enzymes: structure-function relationships and computational methodologyLaura J Kingsley, Markus A Lill
Methods in Molecular Biology (Clifton, N.J.)|April 29, 2017
WATsite2.0 with PyMOL Plugin: Hydration Site Prediction and VisualizationYing Yang, Bingjie Hu, Markus A Lill
Basic & Clinical Pharmacology & Toxicology|August 26, 2006
The challenge of predicting drug toxicity in silicoAngelo Vedani, Max Dobler, Markus A Lill
ALTEX|September 28, 2005
Virtual test kits for predicting harmful effects triggered by drugs and chemicals mediated by specific proteinsAngelo Vedani, Max Dobler, Markus A Lill
Journal of Medicinal Chemistry|May 27, 2005
Combining protein modeling and 6D-QSAR. Simulating the binding of structurally diverse ligands to the estrogen receptorAngelo Vedani, Max Dobler, Markus A Lill
ALTEX|May 24, 2003
Internet laboratory for predicting harmful effects triggered by drugs and chemicals--a progress reportAngelo Vedani, Max Dobler, Markus A Lill
Journal of Medicinal Chemistry|November 30, 2004
Raptor: combining dual-shell representation, induced-fit simulation, and hydrophobicity scoring in receptor modeling: application toward the simulation of structurally diverse ligand setsMarkus A Lill, Angelo Vedani, Max Dobler
Toxicology and Applied Pharmacology|July 28, 2005
In silico prediction of harmful effects triggered by drugs and chemicalsAngelo Vedani, Max Dobler, Markus A Lill
Journal of Chemical Information and Modeling|September 26, 2014
Analysis of factors influencing hydration site prediction based on molecular dynamics simulationsYing Yang, Bingjie Hu, Markus A Lill
Pageof 9