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Generative and predictive neural networks for the design of functional RNA molecules

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.14.549043Source: DataRank Database

Generative and predictive neural networks for the design of functional RNA molecules is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)

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Authors (3)

James Robson ORCID,Alexander A. Green ORCID,Aidan T. Riley ORCID

Live enrichment

PubMed:37503279 OpenAlex:https://openalex.org/W4384406318

National Science Foundation

Grant: 2234657

Graduate Research Fellowship Program (GRFP)

National Institutes of Health

Grant: 5T32GM130546-04

Synthetic Biology and Biotechnology (SB2) Predoctoral Training Program

National Institutes of Health

Grant: 5T32GM008764-05

TRAINING PROGRAM IN QUANTITATIVE BIOLOGY AND PHYSIOLOGY

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/07/14/2023.07.14.549043.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.07.14.549043

repositoryhttps://doi.org/10.1101/2023.07.14.549043

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37503279

Fields of Study

RNA and protein synthesis mechanismsRNA Research and SplicingRNA modifications and cancer0206 medical engineering02 engineering and technology

Keywords

RNAGenerative grammarComputer scienceSequence (biology)Artificial intelligenceFunction (biology)Artificial neural networkComputational biologyGenerative modelPseudoknotMachine learningBiologyGeneGeneticsArticle