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Gabriele Cruciani

Showing results (11-20 of 158) with videos related to

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Journal of Chemical Information and Modeling|October 4, 2007
New and original pKa prediction method using grid molecular interaction fieldsFrancesca Milletti, Loriano Storchi, Gianluca Sforna, et al.
Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association|May 26, 2019
A computational study toward the "personalized" activity of alternariol - Does it matter for safe food at individual level?Luca Dellafiora, Gianni Galaverna, Gabriele Cruciani, et al.
Bioorganic & Medicinal Chemistry|June 10, 2004
GRIND/ALMOND investigations on CysLT1 receptor antagonists of the quinolinyl(bridged)aryl typePaolo Benedetti, Raimund Mannhold, Gabriele Cruciani, et al.
Journal of Chemical Information and Modeling|May 23, 2013
Modeling phospholipidosis induction: reliability and warningsLaura Goracci, Martina Ceccarelli, Daniela Bonelli, et al.
Journal of Medicinal Chemistry|April 5, 2002
GBR compounds and mepyramines as cocaine abuse therapeutics: chemometric studies on selectivity using grid independent descriptors (GRIND)Paolo Benedetti, Raimund Mannhold, Gabriele Cruciani, et al.
European Journal of Medicinal Chemistry|June 20, 2016
Metabolism study and biological evaluation of bosentan derivativesSusan Lepri, Laura Goracci, Aurora Valeri, et al.
Free Radical Biology & Medicine|April 30, 2019
Computational solutions in redox lipidomics - Current strategies and future perspectivesZhixu Ni, Laura Goracci, Gabriele Cruciani, et al.
Journal of Chemical Information and Modeling|September 14, 2012
GRID-based three-dimensional pharmacophores I: FLAPpharm, a novel approach for pharmacophore elucidationSimon Cross, Massimo Baroni, Laura Goracci, et al.
Molecular Informatics|February 21, 2012
Transporter-mediated Efflux Influences CNS Side Effects: ABCB1, from Antitarget to TargetFabio Broccatelli, Emanuele Carosati, Gabriele Cruciani, et al.
Journal of Chemical Information and Modeling|November 2, 2022
An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein ScreeningDaniela Trisciuzzi, Lydia Siragusa, Massimo Baroni, et al.
Pageof 16

Showing results (11-20 of 158) with videos related to

Sort By:
Pageof 16
Journal of Chemical Information and Modeling|October 4, 2007
New and original pKa prediction method using grid molecular interaction fieldsFrancesca Milletti, Loriano Storchi, Gianluca Sforna, et al.
Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association|May 26, 2019
A computational study toward the "personalized" activity of alternariol - Does it matter for safe food at individual level?Luca Dellafiora, Gianni Galaverna, Gabriele Cruciani, et al.
Bioorganic & Medicinal Chemistry|June 10, 2004
GRIND/ALMOND investigations on CysLT1 receptor antagonists of the quinolinyl(bridged)aryl typePaolo Benedetti, Raimund Mannhold, Gabriele Cruciani, et al.
Journal of Chemical Information and Modeling|May 23, 2013
Modeling phospholipidosis induction: reliability and warningsLaura Goracci, Martina Ceccarelli, Daniela Bonelli, et al.
Journal of Medicinal Chemistry|April 5, 2002
GBR compounds and mepyramines as cocaine abuse therapeutics: chemometric studies on selectivity using grid independent descriptors (GRIND)Paolo Benedetti, Raimund Mannhold, Gabriele Cruciani, et al.
European Journal of Medicinal Chemistry|June 20, 2016
Metabolism study and biological evaluation of bosentan derivativesSusan Lepri, Laura Goracci, Aurora Valeri, et al.
Free Radical Biology & Medicine|April 30, 2019
Computational solutions in redox lipidomics - Current strategies and future perspectivesZhixu Ni, Laura Goracci, Gabriele Cruciani, et al.
Journal of Chemical Information and Modeling|September 14, 2012
GRID-based three-dimensional pharmacophores I: FLAPpharm, a novel approach for pharmacophore elucidationSimon Cross, Massimo Baroni, Laura Goracci, et al.
Molecular Informatics|February 21, 2012
Transporter-mediated Efflux Influences CNS Side Effects: ABCB1, from Antitarget to TargetFabio Broccatelli, Emanuele Carosati, Gabriele Cruciani, et al.
Journal of Chemical Information and Modeling|November 2, 2022
An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein ScreeningDaniela Trisciuzzi, Lydia Siragusa, Massimo Baroni, et al.
Pageof 16