Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning is a research paper published in Virus Evolution (2025). On theSindex it has a DataRank of 0.373. It has been cited 11 times.
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Base Score Contribution
0.373
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 →NIGMS NIH HHS
Grant: R01 GM126189
NIGMS NIH HHS
Grant: R35 GM148196
NIAID NIH HHS
Grant: R01 AI164266
National Institutes of Health
Grant: 5R01GM126189-03
Synergistic integration of topology and machine learning for the predictions of protein-ligand binding affinities and mutation impacts
National Institutes of Health
Grant: 1R01AI164266-01A1
AI-based platform for predicting emerging vaccine-escape variants and designing mutation-proof antibodies
National Science Foundation
Grant: 2052983
Collaborative Research: Integrating Algebraic Topology, Graph Theory, and Multiscale Analysis for Learning Complex and Diverse Datasets
National Institutes of Health
Grant: 5R35GM148196-02
Discovery-Driven Mathematics and Artificial Intelligence for Biosciences and Drug Discovery
National Science Foundation
Grant: 1900473
III: Medium: De Rham-Hodge theory modeling and learning of biomolecular data
FWCI
8.64
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals