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Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding

Analytical Biochemistry(2022)10.1016/j.ab.2022.114878Source: DataRank Database

Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding is a research paper published in Analytical Biochemistry (2022). On theSindex it has a DataRank of 0. It has been cited 8 times.

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8 citations

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Enrichment:Funding (11 grants)OA: closedTopics (19)IDs (PubMed)

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Authors (6)

Long-Chen Shen ORCID,Yuan-Hao Jiang ORCID,Shang Gao ORCID,Jiangning Song ORCID,Dong‐Jun Yu ORCID

Live enrichment

PubMed:36049552

National Health and Medical Research Council

Grant: APP1144652

National Health and Medical Research Council

Grant: APP1127948

National Natural Science Foundation of China

Grant: 62072243

National Natural Science Foundation of China

Grant: 62176107

National Natural Science Foundation of China

Grant: 61772273

National Institutes of Health

Grant: R01 AI111965

Natural Science Foundation of Jiangsu Province

Grant: BK20201304

Australian Research Council

Grant: DP120104460

Stochastic modelling of telomere length regulation in ageing research

Australian Research Council

Grant: LP110200333

Characterisation of plant cysteine proteases with therapeutic potential

Monash University

National Institute of Allergy and Infectious Diseases

closedLicense: Elsevier TDM

publisherhttps://api.elsevier.com/content/article/PII:S0003269722003384?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0003269722003384?httpAccept=text/plain

https://doi.org/10.1016/j.ab.2022.114878

https://pubmed.ncbi.nlm.nih.gov/36049552

Fields of Study

0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

MeSH Terms

DNA-Binding ProteinsDNAProtein BindingSoftwareNeural Networks, Computer

Keywords

Sequence analysisDna-protein BindingMulti-scale ConvolutionDense Connectional NetworkFault-tolerant CodingDNA-Binding ProteinsDNANeural Networks, ComputerSoftwareProtein Binding

Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding

FAIR Checklist

Authors (6)

Funding (11 grants)

Open Access

Topics