These architectures learn underlying statistical and functional patterns fromlarge peptide datasets, enabling them to explore vast sequence spaces that are inaccessibleto traditional empirical and rational design methods.
This is really interesting
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pdfs.semanticscholar.org pdfs.semanticscholar.org
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quorum-sensing (QS) inhibitors
This is hella clever and interesting
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Artificial intelligence models evaluate peptide proper-ties, including charge, hydrophobicity, amino acid distribution, and secondary structure, to predictantimicrobial activity and toxicity.
It looks at databases of current animicrobials and see common trends in their overall charges, aa compositions and other properties
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