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De novo distillation of thermodynamic affinity from deep learning regulatory sequence models of in vivo protein-DNA binding

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.11.540401Source: DataRank Database

De novo distillation of thermodynamic affinity from deep learning regulatory sequence models of in vivo protein-DNA binding 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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Enrichment:Funding (6 grants)OA: greenTopics (26)IDs (PubMed, OpenAlex)

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Authors (10)

Connor A. Horton ORCID,Avanti Shrikumar ORCID,Nilay Shah ORCID,Eileen Li ORCID,Melanie Weilert ORCID

Live enrichment

PubMed:37214836 OpenAlex:https://openalex.org/W4376280271

National Institutes of Health

Grant: 3U24HG012343-02S1

A Comprehensive Genomic Community Resource of Transcriptional Regulation

National Institutes of Health

Grant: 5U01HG009431-04

Decoding the regulatory architecture of the human genome across cell types, individuals and disease

National Institutes of Health

Grant: 5U01HG012069-05

Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code

NHGRI NIH HHS

Grant: U01 HG009431

NHGRI NIH HHS

Grant: U01 HG012069

NHGRI NIH HHS

Grant: U24 HG012343

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/11/2023.05.11.540401.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.11.540401

repositoryhttps://doi.org/10.1101/2023.05.11.540401

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37214836

Fields of Study

Genomics and Chromatin DynamicsRNA and protein synthesis mechanismsRNA Research and Splicing0206 medical engineering02 engineering and technology

Keywords

Computational biologyBiologyTranscription factorContext (archaeology)Chromatin immunoprecipitationGeneChromatinSequence motifGeneticsRegulatory sequenceAffinitiesBiochemistryGene expressionPromoterArticleTranscription factorsbinding affinitydeep learninggene regulationhigh-throughput binding assaysprotein-DNA binding