AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides

AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides

Antimicrobial peptides are present ubiquitously in intra- and extra-biological environments and display considerable antibacterial and antifungal activities. Clinically, it has shown good antibacterial effect in the treatment of diabetic foot and its complications. However, the discovery and screeni...

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Bibliographic Details
Main Authors: Yuanda Wang, Liyang Wang, Chengquan Li, Yilin Pei, Xiaoxiao Liu, Yu Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Genetics
Subjects:
antimicrobial peptides
diabetic foot
deep learning
ensemble learning
accurate screening
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1232117/full

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https://www.frontiersin.org/articles/10.3389/fgene.2023.1232117/full

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