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The Journal of Chemical Physics
|
November 10, 2017
Note: MSM lag time cannot be used for variational model selection
Brooke E Husic, Vijay S Pande
The Journal of Physical Chemistry. B
|
September 23, 2017
Transfer Learning from Markov Models Leads to Efficient Sampling of Related Systems
Mohammad M Sultan, Vijay S Pande
Journal of Chemical Theory and Computation
|
November 18, 2015
Potential-based dynamical reweighting for Markov state models of protein dynamics
Jeffrey K Weber, Vijay S Pande
Journal of Chemical Theory and Computation
|
November 20, 2015
Learning Kinetic Distance Metrics for Markov State Models of Protein Conformational Dynamics
Robert T McGibbon, Vijay S Pande
The Journal of Chemical Physics
|
December 13, 2012
Eigenvalues of the homogeneous finite linear one step master equation: applications to downhill folding
Thomas J Lane, Vijay S Pande
Methods in Enzymology
|
May 8, 2015
Elucidating Ligand-Modulated Conformational Landscape of GPCRs Using Cloud-Computing Approaches
Diwakar Shukla, Morgan Lawrenz, Vijay S Pande
Plos One
|
January 12, 2012
A-site residues move independently from P-site residues in all-atom molecular dynamics simulations of the 70S bacterial ribosome
Relly Brandman, Yigal Brandman, Vijay S Pande
Climacteric : the Journal of the International Menopause Society
|
November 10, 2011
Low bone mineral density in Indian patients with fragility fractures
K C Pande, S Pande, S Babhulkar
Folding & Design
|
January 1, 1997
On the theory of folding kinetics for short proteins
V S Pande, Grosberg AYu, T Tanaka
The Journal of Chemical Physics
|
May 6, 2006
Using massively parallel simulation and Markovian models to study protein folding: examining the dynamics of the villin headpiece
Guha Jayachandran, V Vishal, Vijay S Pande
Page
of 36
Search research articles
Search
Showing results (91-100 of 360) with videos related to
Sort By:
Page
of 36
The Journal of Chemical Physics
|
November 10, 2017
Note: MSM lag time cannot be used for variational model selection
Brooke E Husic, Vijay S Pande
The Journal of Physical Chemistry. B
|
September 23, 2017
Transfer Learning from Markov Models Leads to Efficient Sampling of Related Systems
Mohammad M Sultan, Vijay S Pande
Journal of Chemical Theory and Computation
|
November 18, 2015
Potential-based dynamical reweighting for Markov state models of protein dynamics
Jeffrey K Weber, Vijay S Pande
Journal of Chemical Theory and Computation
|
November 20, 2015
Learning Kinetic Distance Metrics for Markov State Models of Protein Conformational Dynamics
Robert T McGibbon, Vijay S Pande
The Journal of Chemical Physics
|
December 13, 2012
Eigenvalues of the homogeneous finite linear one step master equation: applications to downhill folding
Thomas J Lane, Vijay S Pande
Methods in Enzymology
|
May 8, 2015
Elucidating Ligand-Modulated Conformational Landscape of GPCRs Using Cloud-Computing Approaches
Diwakar Shukla, Morgan Lawrenz, Vijay S Pande
Plos One
|
January 12, 2012
A-site residues move independently from P-site residues in all-atom molecular dynamics simulations of the 70S bacterial ribosome
Relly Brandman, Yigal Brandman, Vijay S Pande
Climacteric : the Journal of the International Menopause Society
|
November 10, 2011
Low bone mineral density in Indian patients with fragility fractures
K C Pande, S Pande, S Babhulkar
Folding & Design
|
January 1, 1997
On the theory of folding kinetics for short proteins
V S Pande, Grosberg AYu, T Tanaka
The Journal of Chemical Physics
|
May 6, 2006
Using massively parallel simulation and Markovian models to study protein folding: examining the dynamics of the villin headpiece
Guha Jayachandran, V Vishal, Vijay S Pande
Page
of 36