Deep Learning

Antimicrobial Peptide Generator

Overview This project leverages deep learning to address the critical issue of antibiotic resistance. By integrating Reinforcement Learning (RL) into a Generative Adversarial Network (GAN) framework, we developed a model capable of de novo design of Antimicrobial Peptides (AMPs). The core innovation lies in embedding a Monte Carlo search within the generator to optimize sequence generation through policy gradients.

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