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Sean M. Law
Sean M. Law
Principal Data Scientist, R&D - Charles Schwab
Bestätigte E-Mail-Adresse bei schwab.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Flexible CDOCKER: Development and application of a pseudo‐explicit structure‐based docking method within CHARMM
JK Gagnon, SM Law, CL Brooks III
Journal of computational chemistry 37 (8), 753-762, 2016
1242016
STUMPY: A Powerful and Scalable Python Library for Time Series Data Mining
SM Law
The Journal of Open Source Software 4 (39), 1504, 2019
1082019
Prepaying the entropic cost for allosteric regulation in KIX
SM Law, JK Gagnon, AK Mapp, CL Brooks III
Proceedings of the National Academy of Sciences 111 (33), 12067-12072, 2014
672014
A Simple and Fast Approach for Predicting 1H and 13C Chemical Shifts: Toward Chemical Shift-Guided Simulations of RNA
AT Frank, SM Law, CL Brooks III
The Journal of Physical Chemistry B 118 (42), 12168-12175, 2014
382014
Base-Flipping Mechanism in Postmismatch Recognition by MutS
SM Law, M Feig
Biophysical Journal 101 (9), 2223-2231, 2011
362011
Deciphering the mismatch recognition cycle in MutS and MSH2-MSH6 using normal-mode analysis
S Mukherjee, SM Law, M Feig
Biophysical journal 96 (5), 1707-1720, 2009
362009
Multiscale modeling of a conditionally disordered pH-sensing chaperone
LS Ahlstrom, SM Law, A Dickson, CL Brooks III
Journal of molecular biology 427 (8), 1670-1680, 2015
332015
PCASSO: A fast and efficient Cα‐based method for accurately assigning protein secondary structure elements
SM Law, AT Frank, CL Brooks III
Journal of computational chemistry 35 (24), 1757-1761, 2014
302014
pH‐sensitive residues in the p19 RNA silencing suppressor protein from carnation Italian ringspot virus affect siRNA binding stability
SM Law, BW Zhang, CL Brooks III
Protein Science 22 (5), 595-604, 2013
282013
Predicting protein backbone chemical shifts from Cα coordinates: extracting high resolution experimental observables from low resolution models
AT Frank, SM Law, LS Ahlstrom, CL Brooks III
Journal of Chemical Theory and Computation 11 (1), 325-331, 2015
142015
Hamiltonian mapping revisited: Calibrating minimalist models to capture molecular recognition by intrinsically disordered proteins
SM Law, LS Ahlstrom, A Panahi, CL Brooks III
The journal of physical chemistry letters 5 (19), 3441-3444, 2014
122014
Long-range signaling in MutS and MSH homologs via switching of dynamic communication pathways
B Wang, J Francis, M Sharma, SM Law, AV Predeus, M Feig
PLoS computational biology 12 (10), e1005159, 2016
92016
Molecular dynamics trajectory compression with a coarse-grained model
YM Cheng, SM Gopal, SM Law, M Feig
IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (2), 476-486, 2011
92011
Machine-learned natural language document processing system
SM Law, LS Ahlstrom
US Patent 12,190,055, 2025
42025
Recommendation system for providing personalized and mixed content on a user interface based on content and user similarity
LS Ahlstrom, RRT VENKATA, SMY LAW, JC WALSTON, R LOKINENI, ...
US Patent 10,867,000, 2020
42020
String processing of clickstream data
SM Law, KE Angel
US Patent 10,986,200, 2021
32021
String processing of clickstream data
SM Law, KE Angel
US Patent 11,438,428, 2022
22022
10 How is fidelity maintained in nucleic acids? Two tales in DNA repair and DNA transcription from computer simulations
M Feig, B Wang, M Sharma, Z Burton, K Opron, R Cukier, A Predeus, ...
Journal of Biomolecular Structure and Dynamics 33 (sup1), 6-7, 2015
12015
Recommendation system for providing personalized and mixed content on a user interface based on content and user similarity
LS Ahlstrom, RRT VENKATA, SMY LAW, JC WALSTON, R LOKINENI, ...
US Patent App. 18/741,225, 2024
2024
Recommendation system for providing personalized and mixed content on a user interface based on content and user similarity
LS Ahlstrom, RRT VENKATA, SMY LAW, JC WALSTON, R LOKINENI, ...
US Patent 12,026,210, 2024
2024
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