LassoHTP: A High-Throughput Computational Tool for Lasso Peptide Structure Construction and Modeling is a research paper published in Journal of Chemical Information and Modeling (2023). On theSindex it has a DataRank of 0.500. It has been cited 27 times.
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Base Score Contribution
0.500
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Department of Chemistry, Vanderbilt University
Grant: FF_300061.10
National Institute of General Medical Sciences
Grant: GM107036
NIGMS NIH HHS
Grant: T32 GM008320
NIGMS NIH HHS
Grant: R01 GM107036
National Institutes of Health
Grant: 5T32GM008320-02
MOLECULAR BIOPHYSICS TRAINING PROGRAM
National Institutes of Health
Grant: 5R01GM107036-07
Lasso Peptide Discovery
FWCI
3.94
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords