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Machine learning-guided discovery and design of non-hemolytic peptides
Reducing hurdles to clinical trials without compromising the therapeutic promises of peptide candidates becomes an essential step in peptide-based drug design. Machine-learning models are cost-effective and time-saving strategies used to predict biological activities from primary sequences. Their li...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7538962/ https://ncbi.nlm.nih.gov/pubmed/33024236 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73644-6 |
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