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

Michael Feig

Showing results (11-20 of 164) with videos related to

Pageof 17
Sort By:
The Journal of Physical Chemistry. B|July 31, 2025
Tribute to Charles L. Brooks IIIMichael Feig, Jana Shen
Current Opinion in Structural Biology|July 9, 2025
Generation of protein dynamics by machine learningGiacomo Janson, Michael Feig
Biorxiv : the Preprint Server for Biology|October 17, 2024
Diffusion and Viscosity in Mixed Protein SolutionsSpencer Wozniak, Michael Feig
Plos Computational Biology|May 23, 2024
Transferable deep generative modeling of intrinsically disordered protein conformationsGiacomo Janson, Michael Feig
Journal of Chemical Information and Modeling|November 21, 2017
Determination of Hydrophobic Lengths of Membrane Proteins with the HDGB Implicit Membrane ModelBercem Dutagaci, Michael Feig
Journal of Molecular Graphics & Modelling|September 17, 2013
Reaching new levels of realism in modeling biological macromolecules in cellular environmentsMichael Feig, Yuji Sugita
Proteins|August 4, 2015
Protein structure refinement via molecular-dynamics simulations: What works and what does not?Michael Feig, Vahid Mirjalili
Proteins|November 7, 2019
High-accuracy protein structures by combining machine-learning with physics-based refinementLim Heo, Michael Feig
Biochimica Et Biophysica Acta|September 11, 2012
Role of conformational sampling of Ser16 and Thr17-phosphorylated phospholamban in interactions with SERCAMaryam Sayadi, Michael Feig
Biorxiv : the Preprint Server for Biology|June 9, 2020
Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based RefinementLim Heo, Michael Feig
Pageof 17

Showing results (11-20 of 164) with videos related to

Sort By:
Pageof 17
The Journal of Physical Chemistry. B|July 31, 2025
Tribute to Charles L. Brooks IIIMichael Feig, Jana Shen
Current Opinion in Structural Biology|July 9, 2025
Generation of protein dynamics by machine learningGiacomo Janson, Michael Feig
Biorxiv : the Preprint Server for Biology|October 17, 2024
Diffusion and Viscosity in Mixed Protein SolutionsSpencer Wozniak, Michael Feig
Plos Computational Biology|May 23, 2024
Transferable deep generative modeling of intrinsically disordered protein conformationsGiacomo Janson, Michael Feig
Journal of Chemical Information and Modeling|November 21, 2017
Determination of Hydrophobic Lengths of Membrane Proteins with the HDGB Implicit Membrane ModelBercem Dutagaci, Michael Feig
Journal of Molecular Graphics & Modelling|September 17, 2013
Reaching new levels of realism in modeling biological macromolecules in cellular environmentsMichael Feig, Yuji Sugita
Proteins|August 4, 2015
Protein structure refinement via molecular-dynamics simulations: What works and what does not?Michael Feig, Vahid Mirjalili
Proteins|November 7, 2019
High-accuracy protein structures by combining machine-learning with physics-based refinementLim Heo, Michael Feig
Biochimica Et Biophysica Acta|September 11, 2012
Role of conformational sampling of Ser16 and Thr17-phosphorylated phospholamban in interactions with SERCAMaryam Sayadi, Michael Feig
Biorxiv : the Preprint Server for Biology|June 9, 2020
Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based RefinementLim Heo, Michael Feig
Pageof 17