Using molecular dynamics simulations to prioritize and understand AI-generated cell penetrating peptides
Abstract Cell-penetrating peptides have important therapeutic applications in drug delivery, but the variety of known cell-penetrating peptides is still limited. With a promise to accelerate peptide development, artificial intelligence (AI) techniques including deep generative models are currently i...
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| Auteurs principaux: | , , , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/0a9cf7df2c9b4a0ea4bd512001748a5c |
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