Prediction of Cholecystokinin-Secretory Peptides Using Bidirectional Long Short-term Memory Model Based on Transfer Learning and Hierarchical Attention Network Mechanism

Prediction of Cholecystokinin-Secretory Peptides Using Bidirectional Long Short-term Memory Model Based on Transfer Learning and Hierarchical Attention Network Mechanism

Cholecystokinin (CCK) can make the human body feel full and has neurotrophic and anti-inflammatory effects. It is beneficial in treating obesity, Parkinson’s disease, pancreatic cancer, and cholangiocarcinoma. Traditional biological experiments are costly and time-consuming when it comes to finding...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jing Liu, Pu Chen, Hongdong Song, Pengxiao Zhang, Man Wang, Zhenliang Sun, Xiao Guan
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2023-09-01
Sarja:Biomolecules
Aiheet:
cholecystokinin
CCK-secretory peptides
transfer learning
SMILES enumeration
hierarchical attention network
BiLSTM
Linkit:https://www.mdpi.com/2218-273X/13/9/1372

Internet

https://www.mdpi.com/2218-273X/13/9/1372

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