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Invariant point message passing for protein side chain packing

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.03.551328Source: DataRank Database

Invariant point message passing for protein side chain packing is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (30)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (2)

Brian Kuhlman ORCID,Nicholas Z. Randolph ORCID

Live enrichment

PubMed:38187664 OpenAlex:https://openalex.org/W4385520321

National Institutes of Health

Grant: 5R35GM131923-02

Computational Design of Protein Structures and Complexes

National Science Foundation

Grant: 2040435

Graduate Research Fellowship Program (GRFP)

NIGMS NIH HHS

Grant: R35 GM131923

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/08/03/2023.08.03.551328.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.08.03.551328

repositoryhttps://doi.org/10.1101/2023.08.03.551328

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38187664

Fields of Study

Protein Structure and DynamicsMonoclonal and Polyclonal Antibodies ResearchEnzyme Structure and Function0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Invariant (physics)Computer scienceSide chainMessage passingMathematicsDistributed computingMaterials scienceComposite materialMathematical physicsModels, MolecularProtein FoldingProtein ConformationProteinsComputational BiologyProtein EngineeringArticleDeep LearningNeural Networks, ComputerAmino AcidsDatabases, ProteinSoftwareAlgorithmsProtein side chain packinggraph neural network

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SDG 0: Affordable and clean energy