Machine Learning Guided Design of High-Affinity ACE2 Decoys for SARS-CoV-2 Neutralization is a research paper published in The Journal of Physical Chemistry B (2023). On theSindex it has a DataRank of 0.345. It has been cited 9 times.
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Base Score Contribution
0.345
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 →Division of Intramural Research, National Institute of Allergy and Infectious Diseases
Grant: R43-AI162329
National Institute of General Medical Sciences
Grant: R35GM142745
NIAID NIH HHS
Grant: R43 AI162329
National Institutes of Health
Grant: 6R43AI162329-02
Optimization of a broad and potent decoy receptor for SARS-associated viruses
National Institutes of Health
Grant: 5R35GM142745-05
Elucidating sequence, structural and dynamic basis of the functional regulation of membrane proteins
C3.ai Digital Transformation Institute Research Award
FWCI
1.35
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals