RL-MLZerD: Multimeric protein docking using reinforcement learning is a research paper published in Frontiers in Molecular Biosciences (2022). On theSindex it has a DataRank of 0.416. It has been cited 15 times.
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Base Score Contribution
0.416
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.
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Grant: R01GM133840 R01GM123055 3R01GM133840-02S1
National Science Foundation
Grant: CMMI1825941 MCB1925643 DBI2146026 DBI2003635
NIGMS NIH HHS
Grant: R01 GM123055
NIGMS NIH HHS
Grant: T32 GM132024
NIGMS NIH HHS
Grant: R01 GM133840
National Institutes of Health
Grant: 3R01GM133840-02S1
Building protein structure models for intermediate resolution cryo-electron microscopy maps
National Science Foundation
Grant: 2146026
Collaborative Research: Identification and Structural Modeling of Intrinsically Disordered Protein-Protein and Protein-Nucleic Acids Interactions
National Institutes of Health
Grant: 5R01GM123055-02
Structural Modeling of Multifarious Protein Complexes
National Science Foundation
Grant: 1825941
Nanomanufacturing of Protein Macromolecular Frameworks Through an Integrated Bioengineering and Computational Approach
National Science Foundation
Grant: 1925643
Collaborative Research: RoL: Revealing a new mechanism of action for eukaryotic transcriptional activation domains
National Science Foundation
Grant: 2003635
IIBR Informatics: Development of Multimodal approaches for protein function prediction
FWCI
1.10
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords