Learning sequence, structure, and function representations of proteins with language models is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.
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National Institutes of Health
Grant: 5R35GM122515-03
Mechanisms Underlying the Control of Recombination and Gene Regulation
National Institutes of Health
Grant: 5R01DK103358-03
A network model of the gut host-microbe ecosystem in Inflammatory Bowel Disease
National Institutes of Health
Grant: 5R01AI130945-04
Interactions between helminth colonization and the gut microbiota
National Science Foundation
Grant: 1728858
DMREF: Computationally Driven-Genetically Engineered Materials (CD-GEM)
National Science Foundation
Grant: 1922658
NRT-HDR: FUTURE Foundations, Translation, and Responsibility for Data Science Impact
NIAID NIH HHS
Grant: R01 AI130945
NIDDK NIH HHS
Grant: R01 DK103358
NIGMS NIH HHS
Grant: R35 GM122515
Fields of Study
Keywords
Sustainable Development Goals
Protein-vec trained model for Functional Protein Mining with Conformal Guarantees (preservation copy for reproducibility)
Protein-vec trained model for Functional Protein Mining with Conformal Guarantees (preservation copy for reproducibility)