Massive experimental quantification of amyloid nucleation allows interpretable deep learning of protein aggregation is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
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Base Score Contribution
0.269
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 →European Research Council
Grant: 101125484
Global Amyloid Mapping: Solving Amyloid Nucleation by Deep Mutagenesis
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Grant: 883742
Determining in vivo protein structures and understanding genetic interactions using deep mutagenesis
Wellcome Trust
Grant: 220540
Wellcome Sanger Institute Quinquennial Review 2021-2026
National Institutes of Health
Grant: 5R01GM149921-03
Reliable post hoc interpretations of deep learning in genomics
National Institutes of Health
Grant: 5R01HG012131-03
Interpretable Computational Models of Functional Genomics Data
Fields of Study
Keywords
Sustainable Development Goals