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Proteins Need Extra Attention: Improving the Predictive Power of Protein Language Models on Mutational Datasets with Hint Tokens

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.05.570055Source: DataRank Database

Proteins Need Extra Attention: Improving the Predictive Power of Protein Language Models on Mutational Datasets with Hint Tokens is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Enrichment:Funding (6 grants)OA: greenTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (4)

Ryann M. Perez ORCID,Sam Giannakoulias ORCID,E. James Petersson ORCID,Xinning Li ORCID

Live enrichment

PubMed:38106169 OpenAlex:https://openalex.org/W4389462598

National Science Foundation

Grant: 1845298

Graduate Research Fellowship Program(GRFP)

National Institutes of Health

Grant: 2T32GM133398-06

Predoctoral Training at the Chemistry-Biology Interface

National Institutes of Health

Grant: 2RF1NS103873-05

Studying Aggregation in Neurodegenerative Disease using Synthetic Proteins

National Institutes of Health

Grant: 1F31AG090063-01

Combining Chemical Biology and Machine Learning to Generate Reproducible Amyloid Fibrils

NIGMS NIH HHS

Grant: R01 GM127593

NIGMS NIH HHS

Grant: T32 GM133398

greenLicense: CC BY

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/12/07/2023.12.05.570055.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.12.05.570055

repositoryhttp://dx.doi.org/10.1101/2023.12.05.570055

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38106169

Fields of Study

Machine Learning in BioinformaticsRNA and protein synthesis mechanismsGenomics and Phylogenetic Studies0206 medical engineering02 engineering and technology

Keywords

Security tokenComputer scienceArtificial intelligenceMachine learningLanguage modelPredictive powerMutationProteinsComputational BiologyHumansStandard ArticleDatabases, Protein

Sustainable Development Goals

SDG 0: Quality Education