Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.
The ubiquitous antimicrobial peptides (AMPs), with a broad range of antimicrobial activities, represent a great promise for combating the multi-drug resistant infections. In this study, using a large and diverse set of AMPs (2638) and non-AMPs (3700), we have explored a variety of machine learning c...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 11/12; pp. 2397 - 2409 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2021
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| Acceso en línea: | Ver este registro en EBSCOhost |