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Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function

Bioinformatics(2023)10.1093/bioinformatics/btad208Source: DataRank Database

Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 74 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access74 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (9 grants)Impact (FWCI 6.94)OA: goldTopics (30)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Hongyuan Cao ORCID,Jianlin Cheng ORCID,Frimpong Boadu ORCID

Live enrichment

PubMed:37387145 PMC:PMC10311302 OpenAlex:https://openalex.org/W4382632527

Department of Energy

Grant: DE-AR0001213

Department of Energy

Grant: DE-SC0020400

Department of Energy

Grant: DE-SC0021303

National Science Foundation

Grant: DBI2308699

National Science Foundation

Grant: DBI1759934

National Science Foundation

Grant: IIS1763246

National Institutes of Health

Grant: 2UL1TR001427-5

National Institutes of Health

Grant: R01GM093123

National Institutes of Health

Grant: R01GM146340

FWCI

6.94

Citation Percentile

1.0%

Citation Trend

2012

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/article-pdf/39/Supplement_1/i318/50741489/btad208.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/39/Supplement_1/i318/50741489/btad208.pdf

journalhttps://doi.org/10.1093/bioinformatics/btad208

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37387145

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10311302

Fields of Study

Machine Learning in BioinformaticsProtein Structure and DynamicsGenomics and Rare DiseasesAmino Acid SequenceLanguageNeural Networks, ComputerSoftware

MeSH Terms

Amino Acid SequenceLanguageSoftwareNeural Networks, ComputerBenchmarking

Keywords

Computer scienceProtein function predictionLeverage (statistics)Artificial neural networkArtificial intelligenceTransformerSource codeMachine learningProtein sequencingGraphProtein functionPattern recognition (psychology)AlgorithmTheoretical computer scienceBiologyPeptide sequenceGeneticsGene

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure