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

Michal Brylinski

Showing results (11-20 of 88) with videos related to

Pageof 9
Sort By:
Plos One|November 28, 2012
eThread: a highly optimized machine learning-based approach to meta-threading and the modeling of protein tertiary structuresMichal Brylinski, Daswanth Lingam
Proteins|August 8, 2007
What is the relationship between the global structures of apo and holo proteins?Michal Brylinski, Jeffrey Skolnick
Briefings in Bioinformatics|March 28, 2009
FINDSITE: a combined evolution/structure-based approach to protein function predictionJeffrey Skolnick, Michal Brylinski
Journal of Molecular Recognition : JMR|August 14, 2015
Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learningSurabhi Maheshwari, Michal Brylinski
Journal of Chemical Information and Modeling|September 22, 2010
Comprehensive structural and functional characterization of the human kinome by protein structure modeling and ligand virtual screeningMichal Brylinski, Jeffrey Skolnick
Journal of Computational Chemistry|October 15, 2009
Q-Dock(LHM): Low-resolution refinement for ligand comparative modelingMichal Brylinski, Jeffrey Skolnick
Current Drug Targets|January 14, 2016
Structure-Based Drug Discovery Accelerated by Many-Core DevicesWei Feinstein, Michal Brylinski
Proteins|September 5, 2009
Comparison of structure-based and threading-based approaches to protein functional annotationMichal Brylinski, Jeffrey Skolnick
Journal of Computer-Aided Molecular Design|March 20, 2019
Elucidating the druggability of the human proteome with eFindSiteOmar Kana, Michal Brylinski
Proceedings of the National Academy of Sciences of the United States of America|January 1, 2008
A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotationMichal Brylinski, Jeffrey Skolnick
Pageof 9

Showing results (11-20 of 88) with videos related to

Sort By:
Pageof 9
Plos One|November 28, 2012
eThread: a highly optimized machine learning-based approach to meta-threading and the modeling of protein tertiary structuresMichal Brylinski, Daswanth Lingam
Proteins|August 8, 2007
What is the relationship between the global structures of apo and holo proteins?Michal Brylinski, Jeffrey Skolnick
Briefings in Bioinformatics|March 28, 2009
FINDSITE: a combined evolution/structure-based approach to protein function predictionJeffrey Skolnick, Michal Brylinski
Journal of Molecular Recognition : JMR|August 14, 2015
Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learningSurabhi Maheshwari, Michal Brylinski
Journal of Chemical Information and Modeling|September 22, 2010
Comprehensive structural and functional characterization of the human kinome by protein structure modeling and ligand virtual screeningMichal Brylinski, Jeffrey Skolnick
Journal of Computational Chemistry|October 15, 2009
Q-Dock(LHM): Low-resolution refinement for ligand comparative modelingMichal Brylinski, Jeffrey Skolnick
Current Drug Targets|January 14, 2016
Structure-Based Drug Discovery Accelerated by Many-Core DevicesWei Feinstein, Michal Brylinski
Proteins|September 5, 2009
Comparison of structure-based and threading-based approaches to protein functional annotationMichal Brylinski, Jeffrey Skolnick
Journal of Computer-Aided Molecular Design|March 20, 2019
Elucidating the druggability of the human proteome with eFindSiteOmar Kana, Michal Brylinski
Proceedings of the National Academy of Sciences of the United States of America|January 1, 2008
A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotationMichal Brylinski, Jeffrey Skolnick
Pageof 9