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Biophysical Journal
|
November 10, 2011
Base-flipping mechanism in postmismatch recognition by MutS
Sean M Law, Michael Feig
Biophysical Journal
|
March 4, 2009
Deciphering the mismatch recognition cycle in MutS and MSH2-MSH6 using normal-mode analysis
Shayantani Mukherjee, Sean M Law, Michael Feig
Journal of Computational Chemistry
|
July 5, 2014
PCASSO: a fast and efficient Cα-based method for accurately assigning protein secondary structure elements
Sean M Law, Aaron T Frank, Charles L Brooks
Protein Science : a Publication of the Protein Society
|
March 2, 2013
pH-sensitive residues in the p19 RNA silencing suppressor protein from carnation Italian ringspot virus affect siRNA binding stability
Sean M Law, Bin W Zhang, Charles L Brooks
Journal of Computational Chemistry
|
December 23, 2015
Flexible CDOCKER: Development and application of a pseudo-explicit structure-based docking method within CHARMM
Jessica K Gagnon, Sean M Law, Charles L Brooks
The Journal of Physical Chemistry. B
|
September 26, 2014
A simple and fast approach for predicting (1)H and (13)C chemical shifts: toward chemical shift-guided simulations of RNA
Aaron T Frank, Sean M Law, Charles L Brooks
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 26, 2011
Molecular dynamics trajectory compression with a coarse-grained model
Yi-Ming Cheng, Srinivasa Murthy Gopal, Sean M Law, et al.
Journal of Molecular Biology
|
January 14, 2015
Multiscale modeling of a conditionally disordered pH-sensing chaperone
Logan S Ahlstrom, Sean M Law, Alex Dickson, et al.
The Journal of Physical Chemistry Letters
|
October 8, 2014
Hamiltonian Mapping Revisited: Calibrating Minimalist Models to Capture Molecular Recognition by Intrinsically Disordered Proteins
Sean M Law, Logan S Ahlstrom, Afra Panahi, et al.
Journal of Chemical Theory and Computation
|
January 27, 2015
Predicting protein backbone chemical shifts from Cα coordinates: extracting high resolution experimental observables from low resolution models
Aaron T Frank, Sean M Law, Logan S Ahlstrom, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Biophysical Journal
|
November 10, 2011
Base-flipping mechanism in postmismatch recognition by MutS
Sean M Law, Michael Feig
Biophysical Journal
|
March 4, 2009
Deciphering the mismatch recognition cycle in MutS and MSH2-MSH6 using normal-mode analysis
Shayantani Mukherjee, Sean M Law, Michael Feig
Journal of Computational Chemistry
|
July 5, 2014
PCASSO: a fast and efficient Cα-based method for accurately assigning protein secondary structure elements
Sean M Law, Aaron T Frank, Charles L Brooks
Protein Science : a Publication of the Protein Society
|
March 2, 2013
pH-sensitive residues in the p19 RNA silencing suppressor protein from carnation Italian ringspot virus affect siRNA binding stability
Sean M Law, Bin W Zhang, Charles L Brooks
Journal of Computational Chemistry
|
December 23, 2015
Flexible CDOCKER: Development and application of a pseudo-explicit structure-based docking method within CHARMM
Jessica K Gagnon, Sean M Law, Charles L Brooks
The Journal of Physical Chemistry. B
|
September 26, 2014
A simple and fast approach for predicting (1)H and (13)C chemical shifts: toward chemical shift-guided simulations of RNA
Aaron T Frank, Sean M Law, Charles L Brooks
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 26, 2011
Molecular dynamics trajectory compression with a coarse-grained model
Yi-Ming Cheng, Srinivasa Murthy Gopal, Sean M Law, et al.
Journal of Molecular Biology
|
January 14, 2015
Multiscale modeling of a conditionally disordered pH-sensing chaperone
Logan S Ahlstrom, Sean M Law, Alex Dickson, et al.
The Journal of Physical Chemistry Letters
|
October 8, 2014
Hamiltonian Mapping Revisited: Calibrating Minimalist Models to Capture Molecular Recognition by Intrinsically Disordered Proteins
Sean M Law, Logan S Ahlstrom, Afra Panahi, et al.
Journal of Chemical Theory and Computation
|
January 27, 2015
Predicting protein backbone chemical shifts from Cα coordinates: extracting high resolution experimental observables from low resolution models
Aaron T Frank, Sean M Law, Logan S Ahlstrom, et al.
Page
of 2