Accelerating Protein Folding Molecular Dynamics Using Inter-Residue Distances from Machine Learning Servers is a research paper published in Journal of Chemical Theory and Computation (2022). On theSindex it has a DataRank of 0. It has been cited 23 times.
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Natural Sciences and Engineering Research Council of Canada
Grant: PGSD2-517099-2018
National Institutes of Health
Grant: R01GM125813
National Institutes of Health
Grant: RM1GM135136
University of Virginia
Grant: GF10946
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
National Science Foundation
Grant: 1818253
Computation for the Endless Frontier
National Institutes of Health
Grant: 3RM1GM135136-04S1
Solvation modeling for next-gen biomolecule simulations
National Institutes of Health
Grant: 5R01GM125813-04
MELD: accelerating MD modeling of proteins using Bayesian inference
Stony Brook University
FWCI
1.42
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Freeprotmap: waiting-free prediction method for protein distance map
Additional file 1 of Freeprotmap: waiting-free prediction method for protein distance map