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Angelo Vedani

Showing results (21-30 of 42) with videos related to

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Toxicology Letters|September 22, 2014
OpenVirtualToxLab--a platform for generating and exchanging in silico toxicity dataAngelo Vedani, Max Dobler, Zhenquan Hu, et al.
Journal of Chemical Information and Modeling|July 1, 2011
AcquaAlta: a directional approach to the solvation of ligand-protein complexesGianluca Rossato, Beat Ernst, Angelo Vedani, et al.
Journal of Medicinal Chemistry|September 2, 2005
Impact of induced fit on ligand binding to the androgen receptor: a multidimensional QSAR study to predict endocrine-disrupting effects of environmental chemicalsMarkus A Lill, Fabienne Winiger, Angelo Vedani, et al.
Toxicology Letters|July 24, 2007
Predicting the toxic potential of drugs and chemicals in silico: a model for the peroxisome proliferator-activated receptor gamma (PPAR gamma)Angelo Vedani, Anne-Vérène Descloux, Morena Spreafico, et al.
Chemmedchem|November 11, 2006
Simulating alpha/beta selectivity at the human thyroid hormone receptor: consensus scoring using multidimensional QSARAngelo Vedani, Martin Zumstein, Markus A Lill, et al.
Toxicology Letters|June 16, 2009
Mixed-model QSAR at the human mineralocorticoid receptor: predicting binding mode and affinity of anabolic steroidsOurania Peristera, Morena Spreafico, Martin Smiesko, et al.
ALTEX|September 25, 2007
VirtualToxLab - in silico prediction of the toxic potential of drugs and environmental chemicals: evaluation status and internet access protocolAngelo Vedani, Max Dobler, Morena Spreafico, et al.
ALTEX|November 13, 2009
VirtualToxLab - in silico prediction of the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. Two years and 2,000 compounds of experience: a progress reportAngelo Vedani, Martin Smiesko, Morena Spreafico, et al.
Molecular Informatics|July 28, 2016
Probing Small-Molecule Binding to the Liver-X Receptor: A Mixed-Model QSAR StudyMorena Spreafico, Martin Smiesko, Ourania Peristera, et al.
International Journal of Molecular Sciences|January 25, 2013
A molecular-modeling toolbox aimed at bridging the gap between medicinal chemistry and computational sciencesSameh Eid, Adam Zalewski, Martin Smieško, et al.
Pageof 5

Showing results (21-30 of 42) with videos related to

Sort By:
Pageof 5
Toxicology Letters|September 22, 2014
OpenVirtualToxLab--a platform for generating and exchanging in silico toxicity dataAngelo Vedani, Max Dobler, Zhenquan Hu, et al.
Journal of Chemical Information and Modeling|July 1, 2011
AcquaAlta: a directional approach to the solvation of ligand-protein complexesGianluca Rossato, Beat Ernst, Angelo Vedani, et al.
Journal of Medicinal Chemistry|September 2, 2005
Impact of induced fit on ligand binding to the androgen receptor: a multidimensional QSAR study to predict endocrine-disrupting effects of environmental chemicalsMarkus A Lill, Fabienne Winiger, Angelo Vedani, et al.
Toxicology Letters|July 24, 2007
Predicting the toxic potential of drugs and chemicals in silico: a model for the peroxisome proliferator-activated receptor gamma (PPAR gamma)Angelo Vedani, Anne-Vérène Descloux, Morena Spreafico, et al.
Chemmedchem|November 11, 2006
Simulating alpha/beta selectivity at the human thyroid hormone receptor: consensus scoring using multidimensional QSARAngelo Vedani, Martin Zumstein, Markus A Lill, et al.
Toxicology Letters|June 16, 2009
Mixed-model QSAR at the human mineralocorticoid receptor: predicting binding mode and affinity of anabolic steroidsOurania Peristera, Morena Spreafico, Martin Smiesko, et al.
ALTEX|September 25, 2007
VirtualToxLab - in silico prediction of the toxic potential of drugs and environmental chemicals: evaluation status and internet access protocolAngelo Vedani, Max Dobler, Morena Spreafico, et al.
ALTEX|November 13, 2009
VirtualToxLab - in silico prediction of the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. Two years and 2,000 compounds of experience: a progress reportAngelo Vedani, Martin Smiesko, Morena Spreafico, et al.
Molecular Informatics|July 28, 2016
Probing Small-Molecule Binding to the Liver-X Receptor: A Mixed-Model QSAR StudyMorena Spreafico, Martin Smiesko, Ourania Peristera, et al.
International Journal of Molecular Sciences|January 25, 2013
A molecular-modeling toolbox aimed at bridging the gap between medicinal chemistry and computational sciencesSameh Eid, Adam Zalewski, Martin Smieško, et al.
Pageof 5