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Neural network extrapolation to distant regions of the protein fitness landscape

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.08.566287Source: DataRank Database

Neural network extrapolation to distant regions of the protein fitness landscape is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (8 grants)OA: greenTopics (12)IDs (PubMed)

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Authors (4)

Chase R. Freschlin ORCID,Pete Heinzelman ORCID,Philip A. Romero ORCID,Sarah A. Fahlberg ORCID

Live enrichment

PubMed:37987009

National Institutes of Health

Grant: 5R35GM119854-02

Data-driven analysis of protein structure, function, and regulation

National Institutes of Health

Grant: 1S10OD018202-01

Special BD LSR Fortessa

National Institutes of Health

Grant: 2T32HG002760-21

Institutional Training in the Genomic Sciences

National Institutes of Health

Grant: 5P30CA014520-18

CANCER CENTER SUPPORT

NCI NIH HHS

Grant: P30 CA014520

NIGMS NIH HHS

Grant: R35 GM119854

NIH HHS

Grant: S10 OD018202

NHGRI NIH HHS

Grant: T32 HG002760

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/11/09/2023.11.08.566287.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.11.08.566287

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10659313/pdf/nihpp-2023.11.08.566287v1.pdf

https://doi.org/10.1101/2023.11.08.566287

https://doi.org/10.1038/s41467-024-50712-3

Fields of Study

0206 medical engineering02 engineering and technology

Keywords

Machine LearningModels, MolecularBacterial ProteinsScienceImmunoglobulin GQNeural Networks, ComputerProtein EngineeringArticleProtein Binding