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Accurate prediction of functional effect of single amino acid variants with deep learning

Computational and Structural Biotechnology Journal(2023)10.1016/j.csbj.2023.11.017Source: DataRank Database

Accurate prediction of functional effect of single amino acid variants with deep learning is a research paper published in Computational and Structural Biotechnology Journal (2023). On theSindex it has a DataRank of 0. It has been cited 17 times.

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Enrichment:Funding (3 grants)OA: goldTopics (10)IDs (PubMed)

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Authors (3)

Zhongming Zhao ORCID,Qian Liu ORCID,Houssemeddine Derbel

Live enrichment

PubMed:38074467

National Institutes of Health

Grant: 5U01AG079847-03

AIM-AI: an Actionable, Integrated and Multiscale genetic map of Alzheimer's disease via deep learning

National Institutes of Health

Grant: 3P20GM121325-03S1

Microglial gene regulation and phagocytosis in prodromal Alzheimer's Disease

National Institutes of Health

Grant: 1R01LM012806-01

Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype

goldLicense: CC BY

https://doi.org/10.1016/j.csbj.2023.11.017

https://pubmed.ncbi.nlm.nih.gov/38074467

http://dx.doi.org/10.1016/j.csbj.2023.11.017

https://doaj.org/article/c87f0cf138294b968b18c6aff0bde1e3

Fields of Study

0206 medical engineering02 engineering and technology

Keywords

Precise estimationDeep learningSingle amino acid variantFunctional effectHigh-throughput experimentsTP248.13-248.65BiotechnologyResearch Article