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Ligand Identification in CryoEM and X-ray Maps Using Deep Learning

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.08.27.610022Source: DataRank Database

Ligand Identification in CryoEM and X-ray Maps Using Deep Learning is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (19)IDs (PubMed, 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 (8)

Anna Przybyłowska ORCID,Konrad Szewczyk ORCID,Witold Taisner ORCID,John M. Heumann ORCID,Michael H. B. Stowell ORCID

Live enrichment

PubMed:39257821 OpenAlex:https://openalex.org/W4401936664

National Institutes of Health

Grant: 3U24GM139174-03S1

CU Boulder Center for Cryo-ET (CCET)

NINDS NIH HHS

Grant: R01 NS120496

NINDS NIH HHS

Grant: R37 NS120496

NIA NIH HHS

Grant: RF1 AG061829

NIGMS NIH HHS

Grant: U24 GM139174

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/08/28/2024.08.27.610022.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.08.27.610022

repositoryhttps://doi.org/10.1101/2024.08.27.610022

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39257821

Fields of Study

Advanced Electron Microscopy Techniques and ApplicationsMachine Learning in Materials ScienceEnzyme Structure and Function0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

Identification (biology)Artificial intelligenceComputer scienceDeep learningBiologyModels, MolecularOriginal PaperDrug DesignCryoelectron MicroscopyLigandsCrystallography, X-RayArticle

Sustainable Development Goals

SDG 0: Good health and well-being