Hierarchical Markov State Model Building to Describe Molecular Processes is a research paper published in Journal of Chemical Theory and Computation (2020). On theSindex it has a DataRank of 0. It has been cited 7 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Division of Chemistry
Grant: 1464946
High-level QM/MM free energy calculations and reaction path studies at affordable computational cost
Division of Molecular and Cellular Biosciences
Grant: 1553291
CAREER: The origins of codon translation rates and their consequences for nascent protein behavior
National Institutes of Health
Grant: R35-GM124818
National Institute of General Medical Sciences
Grant: R01GM129519
NIGMS NIH HHS
Grant: R35 GM124818
National Institutes of Health
Grant: 5R01GM129519-02
Design and application of robust and efficient QM/MM free energy simulation methods for biomolecular systems
National Institutes of Health
Grant: 1R35GM124818-01
Modeling the influence of translation-elongation kinetics on protein structure and function
FWCI
0.30
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords