Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures and ESM-2-Based Amino Acid Features with Graph Deep Learning
Greneter Cordoves-Delgado,
César R. García-Jacas
Abstract:Currently, antimicrobial resistance
constitutes a serious
threat
to human health. Drugs based on antimicrobial peptides (AMPs) constitute
one of the alternatives to address it. Shallow and deep learning (DL)-based
models have mainly been built from amino acid sequences to predict
AMPs. Recent advances in tertiary (3D) structure prediction have opened
new opportunities in this field. In this sense, models based on graphs
derived from predicted peptide structures have recently been proposed.
However, these model… Show more
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