TG-CDDPM: text-guided antimicrobial peptides generation based on conditional denoising diffusion probabilistic model
Junhang Cao, Jun Zhang, Qiyuan Yu, Junkai Ji, Jianqiang Li, Shan He, Zexuan Zhu · 2025
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Description
Antimicrobial peptides (AMPs) have emerged as a promising substitution to antibiotics thanks to their boarder range of activities, less likelihood of drug resistance, and low toxicity. Traditional biochemical methods for AMP discovery are costly and inefficient. Deep generative models, including the long-short term memory model, variational autoencoder model, and generative adversarial model, have been widely introduced to expedite AMP discovery.
Catalog record
| CREATOR | Junhang Cao, Jun Zhang, Qiyuan Yu, Junkai Ji, Jianqiang Li, Shan He, Zexuan Zhu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 89 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |