peptide-design

论文提出 LLM-to-Flow Distillation（LFD），利用冻结的 LLM 作为自适应教师构建课程并通过 DPO 将偏好蒸馏到科学生成器中，无需显式代理奖励即可用自然语言目标控制治疗性肽和小分子结构的生成设计。

Introduces MEET, a memory-efficient E(3) equivariant transformer for full-atom peptide design, integrated with a VAE and latent diffusion pipeline to achieve linear memory scaling and improved generation quality.

Pepti-Agent is a closed-loop AI framework for therapeutic peptide design that uses MCP tools and an LLM controller to iteratively refine sequences based on multi-property profiles, addressing constraints like solubility, hemolysis, and non-fouling.