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Mark Moll

Showing results (11-20 of 23) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|June 21, 2006
Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reductionPayel Das, Mark Moll, Hernán Stamati, et al.
BMC Structural Biology|May 22, 2010
Tracing conformational changes in proteinsNurit Haspel, Mark Moll, Matthew L Baker, et al.
Scientific Reports|March 14, 2018
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of ConceptDinler A Antunes, Didier Devaurs, Mark Moll, et al.
BMC Bioinformatics|May 13, 2010
Analysis of substructural variation in families of enzymatic proteins with applications to protein function predictionDrew H Bryant, Mark Moll, Brian Y Chen, et al.
Journal of Cheminformatics|November 1, 2017
A review of parameters and heuristics for guiding metabolic pathfindingSarah M Kim, Matthew I Peña, Mark Moll, et al.
BMC Bioinformatics|January 12, 2020
Improving the organization and interactivity of metabolic pathfinding with precomputed pathwaysSarah M Kim, Matthew I Peña, Mark Moll, et al.
Cancer Research|November 3, 2017
DINC 2.0: A New Protein-Peptide Docking Webserver Using an Incremental ApproachDinler A Antunes, Mark Moll, Didier Devaurs, et al.
Journal of Chemical Information and Modeling|December 1, 2018
Machine Learning Guided Atom Mapping of Metabolic ReactionsEleni E Litsa, Matthew I Peña, Mark Moll, et al.
BMC Molecular and Cell Biology|September 7, 2019
Using parallelized incremental meta-docking can solve the conformational sampling issue when docking large ligands to proteinsDidier Devaurs, Dinler A Antunes, Sarah Hall-Swan, et al.
Frontiers in Molecular Biosciences|March 28, 2017
Coarse-Grained Conformational Sampling of Protein Structure Improves the Fit to Experimental Hydrogen-Exchange DataDidier Devaurs, Dinler A Antunes, Malvina Papanastasiou, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Proceedings of the National Academy of Sciences of the United States of America|June 21, 2006
Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reductionPayel Das, Mark Moll, Hernán Stamati, et al.
BMC Structural Biology|May 22, 2010
Tracing conformational changes in proteinsNurit Haspel, Mark Moll, Matthew L Baker, et al.
Scientific Reports|March 14, 2018
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of ConceptDinler A Antunes, Didier Devaurs, Mark Moll, et al.
BMC Bioinformatics|May 13, 2010
Analysis of substructural variation in families of enzymatic proteins with applications to protein function predictionDrew H Bryant, Mark Moll, Brian Y Chen, et al.
Journal of Cheminformatics|November 1, 2017
A review of parameters and heuristics for guiding metabolic pathfindingSarah M Kim, Matthew I Peña, Mark Moll, et al.
BMC Bioinformatics|January 12, 2020
Improving the organization and interactivity of metabolic pathfinding with precomputed pathwaysSarah M Kim, Matthew I Peña, Mark Moll, et al.
Cancer Research|November 3, 2017
DINC 2.0: A New Protein-Peptide Docking Webserver Using an Incremental ApproachDinler A Antunes, Mark Moll, Didier Devaurs, et al.
Journal of Chemical Information and Modeling|December 1, 2018
Machine Learning Guided Atom Mapping of Metabolic ReactionsEleni E Litsa, Matthew I Peña, Mark Moll, et al.
BMC Molecular and Cell Biology|September 7, 2019
Using parallelized incremental meta-docking can solve the conformational sampling issue when docking large ligands to proteinsDidier Devaurs, Dinler A Antunes, Sarah Hall-Swan, et al.
Frontiers in Molecular Biosciences|March 28, 2017
Coarse-Grained Conformational Sampling of Protein Structure Improves the Fit to Experimental Hydrogen-Exchange DataDidier Devaurs, Dinler A Antunes, Malvina Papanastasiou, et al.
Pageof 3