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David L Wild

Showing results (1-10 of 39) with videos related to

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Proteins|July 29, 2005
Exhaustive Metropolis Monte Carlo sampling and analysis of polyalanine conformations adopted under the influence of hydrogen bondsAlexei A Podtelezhnikov, David L Wild
Source Code for Biology and Medicine|June 26, 2008
CRANKITE: A fast polypeptide backbone conformation samplerAlexei A Podtelezhnikov, David L Wild
Biophysical Journal|June 3, 2009
Reconstruction and stability of secondary structure elements in the context of protein structure predictionAlexei A Podtelezhnikov, David L Wild
The Journal of Chemical Physics|July 16, 2008
Comment on "Efficient Monte Carlo trial moves for polypeptide simulations" [J. Chem. Phys. 123, 174905 (2005)]Alexei A Podtelezhnikov, David L Wild
Interface Focus|December 11, 2012
How to infer gene networks from expression profiles, revisitedChristopher A Penfold, David L Wild
American Journal of Pharmacogenomics : Genomics-Related Research in Drug Development and Clinical Practice|October 4, 2005
Expectations from structural genomics revisited: an analysis of structural genomics targetsMansoor A S Saqi, David L Wild
Journal of Chemical Theory and Computation|April 1, 2014
Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood ApproachCsilla Várnai, Nikolas S Burkoff, David L Wild
Proteins|November 17, 2006
Learning about protein hydrogen bonding by minimizing contrastive divergenceAlexei A Podtelezhnikov, Zoubin Ghahramani, David L Wild
Plos One|February 7, 2017
Improving protein-protein interaction prediction using evolutionary information from low-quality MSAsCsilla Várnai, Nikolas S Burkoff, David L Wild
Bioinformatics (Oxford, England)|January 15, 2013
Predicting protein β-sheet contacts using a maximum entropy-based correlated mutation measureNikolas S Burkoff, Csilla Várnai, David L Wild
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Proteins|July 29, 2005
Exhaustive Metropolis Monte Carlo sampling and analysis of polyalanine conformations adopted under the influence of hydrogen bondsAlexei A Podtelezhnikov, David L Wild
Source Code for Biology and Medicine|June 26, 2008
CRANKITE: A fast polypeptide backbone conformation samplerAlexei A Podtelezhnikov, David L Wild
Biophysical Journal|June 3, 2009
Reconstruction and stability of secondary structure elements in the context of protein structure predictionAlexei A Podtelezhnikov, David L Wild
The Journal of Chemical Physics|July 16, 2008
Comment on "Efficient Monte Carlo trial moves for polypeptide simulations" [J. Chem. Phys. 123, 174905 (2005)]Alexei A Podtelezhnikov, David L Wild
Interface Focus|December 11, 2012
How to infer gene networks from expression profiles, revisitedChristopher A Penfold, David L Wild
American Journal of Pharmacogenomics : Genomics-Related Research in Drug Development and Clinical Practice|October 4, 2005
Expectations from structural genomics revisited: an analysis of structural genomics targetsMansoor A S Saqi, David L Wild
Journal of Chemical Theory and Computation|April 1, 2014
Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood ApproachCsilla Várnai, Nikolas S Burkoff, David L Wild
Proteins|November 17, 2006
Learning about protein hydrogen bonding by minimizing contrastive divergenceAlexei A Podtelezhnikov, Zoubin Ghahramani, David L Wild
Plos One|February 7, 2017
Improving protein-protein interaction prediction using evolutionary information from low-quality MSAsCsilla Várnai, Nikolas S Burkoff, David L Wild
Bioinformatics (Oxford, England)|January 15, 2013
Predicting protein β-sheet contacts using a maximum entropy-based correlated mutation measureNikolas S Burkoff, Csilla Várnai, David L Wild
Pageof 4