publications

Preprints

1. LTS Preprints

   

   CoCoFold2: scalable latent refinement of diffusion-based protein structure predictions from limited-particle cryo-EM data

   Junwen Liao, Mingxu Hu, and Chenglong Bao

   2026

   LangTaoSha Preprint Server. CoCoFold2 refines protein structure predictions using limited-particle cryo-EM observations and a frozen Protenix-v1 diffusion prior. It optimizes target-specific latent perturbations and supports component-parallel refinement across multiple GPUs.

   DOI Code

Publications

2026

1. Commun. Chem.

   

   Fine-tuning AlphaFold with limited cryo-EM observations

   Junwen Liao, Dihan Zheng, Hui Zhang, and 3 more authors

   Communications Chemistry, 2026

   CoCoFold adapts AlphaFold using limited cryo-EM particles to refine atomic models when reconstructed maps are weak, anisotropic, or incomplete. It connects predicted structures to experimental particles through differentiable projection and particle-level supervision while preserving the AlphaFold structural prior.

   DOI Code

2023

1. Sens. Actuators B

   

   Amino-acid classification based on terahertz absorption spectroscopy with Gaussian process and maximum likelihood

   Junwen Liao, Bo Wang, Zhiguo Wang, and 1 more author

   Sensors and Actuators B: Chemical, 2023

   This work proposes a discrete Gaussian process and maximum likelihood model for classifying amino-acid terahertz spectra under scattering noise and varying experimental conditions. The model achieves high accuracy with substantially reduced training time and inference cost, supporting efficient THz-based molecular sensing.

   DOI