AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest

The emergence and spread of antibiotic‐resistant bacteria pose a significant public health threat, necessitating the exploration of alternative antibacterial strategies. Antibacterial peptide (ABP) is a kind of antimicrobial peptide (AMP) that has the potential ability to fight against bacteria infe...

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Veröffentlicht in:	Protein science 2024-06, Vol.33 (6), p.e5006-n/a
Hauptverfasser:	Yao, Lantian, Guan, Jiahui, Xie, Peilin, Chung, Chia‐Ru, Deng, Junyang, Huang, Yixian, Chiang, Ying‐Chih, Lee, Tzong‐Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Anti-Bacterial Agents - chemistry Anti-Bacterial Agents - pharmacology Antibacterial activity antibacterial peptide Antiinfectives and antibacterials Antimicrobial peptides Antimicrobial Peptides - chemistry Antimicrobial Peptides - pharmacology Artificial neural networks Bacteria Bacteria - drug effects bioinformatics Computational Biology - methods Computer applications deep forest drug discovery Health risks machine learning Microbial Sensitivity Tests Neural networks Neural Networks, Computer Peptides Performance prediction Physicochemical properties Public health Therapeutic applications
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