Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Michel F Sanner

Showing results (1-10 of 25) with videos related to

Pageof 3
Sort By:
Structure (London, England : 1993)|March 16, 2005
A component-based software environment for visualizing large macromolecular assembliesMichel F Sanner
Bioinformatics (Oxford, England)|June 5, 2019
AutoDock CrankPep: combining folding and docking to predict protein-peptide complexesYuqi Zhang, Michel F Sanner
Journal of Chemical Information and Modeling|May 11, 2023
Predicting Protein-Peptide Interactions: Benchmarking Deep Learning Techniques and a Comparison with Focused DockingSudhanshu Shanker, Michel F Sanner
Journal of Chemical Theory and Computation|September 12, 2019
Docking Flexible Cyclic Peptides with <i>AutoDock CrankPep</i>Yuqi Zhang, Michel F Sanner
Journal of Computer-Aided Molecular Design|November 24, 2007
Protein-ligand docking with multiple flexible side chainsYong Zhao, Michel F Sanner
Proteins|May 25, 2007
FLIPDock: docking flexible ligands into flexible receptorsYong Zhao, Michel F Sanner
Bioinformatics (Oxford, England)|June 30, 2016
AutoSite: an automated approach for pseudo-ligands prediction-from ligand-binding sites identification to predicting key ligand atomsPradeep Anand Ravindranath, Michel F Sanner
Journal of Computational Chemistry|August 23, 2019
AutoGridFR: Improvements on AutoDock Affinity Maps and Associated Software ToolsYuqi Zhang, Stefano Forli, Anna Omelchenko, et al.
Journal of Chemical Information and Modeling|June 14, 2021
Improving Docking Power for Short Peptides Using Random ForestMichel F Sanner, Leonard Dieguez, Stefano Forli, et al.
Protein Science : a Publication of the Protein Society|August 19, 2020
The AutoDock suite at 30David S Goodsell, Michel F Sanner, Arthur J Olson, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Structure (London, England : 1993)|March 16, 2005
A component-based software environment for visualizing large macromolecular assembliesMichel F Sanner
Bioinformatics (Oxford, England)|June 5, 2019
AutoDock CrankPep: combining folding and docking to predict protein-peptide complexesYuqi Zhang, Michel F Sanner
Journal of Chemical Information and Modeling|May 11, 2023
Predicting Protein-Peptide Interactions: Benchmarking Deep Learning Techniques and a Comparison with Focused DockingSudhanshu Shanker, Michel F Sanner
Journal of Chemical Theory and Computation|September 12, 2019
Docking Flexible Cyclic Peptides with <i>AutoDock CrankPep</i>Yuqi Zhang, Michel F Sanner
Journal of Computer-Aided Molecular Design|November 24, 2007
Protein-ligand docking with multiple flexible side chainsYong Zhao, Michel F Sanner
Proteins|May 25, 2007
FLIPDock: docking flexible ligands into flexible receptorsYong Zhao, Michel F Sanner
Bioinformatics (Oxford, England)|June 30, 2016
AutoSite: an automated approach for pseudo-ligands prediction-from ligand-binding sites identification to predicting key ligand atomsPradeep Anand Ravindranath, Michel F Sanner
Journal of Computational Chemistry|August 23, 2019
AutoGridFR: Improvements on AutoDock Affinity Maps and Associated Software ToolsYuqi Zhang, Stefano Forli, Anna Omelchenko, et al.
Journal of Chemical Information and Modeling|June 14, 2021
Improving Docking Power for Short Peptides Using Random ForestMichel F Sanner, Leonard Dieguez, Stefano Forli, et al.
Protein Science : a Publication of the Protein Society|August 19, 2020
The AutoDock suite at 30David S Goodsell, Michel F Sanner, Arthur J Olson, et al.
Pageof 3