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LOMETS3: integrating deep learning and profile alignment for advanced protein template recognition and function annotation

Nucleic Acids Research(2022)10.1093/nar/gkac248Source: DataRank Database

LOMETS3: integrating deep learning and profile alignment for advanced protein template recognition and function annotation is a research paper published in Nucleic Acids Research (2022). On theSindex it has a DataRank of 0. It has been cited 41 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access41 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)OA: goldTopics (8)IDs (PubMed, PMC)

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 (6)

Qiqige Wuyun ORCID,Xiaogen Zhou ORCID,Yang Li ORCID,Lydia Freddolino ORCID,Yang Zhang ORCID

Live enrichment

PubMed:35420129 PMC:PMC9252734

National Institute of General Medical Sciences

Grant: GM136422

National Institute of General Medical Sciences

Grant: S10OD026825

National Institute of Allergy and Infectious Diseases

Grant: AI134678

National Science Foundation

Grant: IIS1901191

National Science Foundation

Grant: DBI2030790

National Science Foundation

Grant: MTM2025426

NIAID NIH HHS

Grant: R01 AI134678

NIGMS NIH HHS

Grant: R35 GM136422

goldLicense: https://creativecommons.org/licenses/by-nc/4.0/

publisherhttps://doi.org/10.1093/nar/gkac248

publisherhttps://academic.oup.com/nar/article-pdf/50/W1/W454/44379395/gkac248.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9252734

Europe_PMChttps://europepmc.org/articles/PMC9252734

Europe_PMChttps://europepmc.org/articles/PMC9252734?pdf=render

MeSH Terms

ProteinsSequence AlignmentSequence Analysis, ProteinProtein ConformationAlgorithmsModels, ChemicalSoftwareDeep Learning