PepHemo-LLM: a protein large language models-based deep learning method to identify hemolytic peptides

PepHemo-LLM is based on protein large language models (e.g., ProteinBERT) to characterize peptide sequences and predict whether a peptide is hemolytic. The approach can guide lead optimization to derive safe peptidic agents. Concurrently, such pLLM-based approaches have also been devised to model the susceptibility/resistance of AIDS patients with different HIV protease mutations to FDA approved drugs, freely available here. The models have been implemented with the Flask framework, and are also optimized for friendly use on mobile devices.

Input: Peptide Sequence(s)