PathDiffusion

Introduction

PathDiffusion is a software that automatically predicts protein folding pathways using evolution-guided diffusion models. It comprises two main modules: the first module focuses on preparing position-specific noise schedules (PSNS), and the second module employs PSNS-guided diffusion models to generate the folding pathway.


Model

  • sequence-conditional model
  • unconditional model

    Training datasets

  • We train PathDiffusion using protein structures from the Protein Data Bank (for conditional generation) and the IDRome database (for unconditional generation). Details on dataset preparation can be found in https://github.com/YangLab-SDU/PathDiffusion

    Benchmark datasets

  • FP52 dataset
  • IDP50 dataset

    Reference

  • Zhao et al, PathDiffusion: modeling protein folding pathway using evolution-guided diffusion, bioRxiv 2026.