Haifeng Chen

Scaffold-Lab: Critical Evaluation and Ranking of Protein Backbone Generation Methods in A Unified Framework

The paper evaluates and ranks protein backbone generation methods using a unified benchmark, identifying top-performing models in both unconditional and conditional generation.

Extending Conformational Ensemble Prediction to Multidomain Proteins and Protein Complex

This paper introduces IDPFold2, a framework for predicting conformational ensembles of proteins, including multidomain proteins and complexes, and shows it outperforms existing methods.

ProDualNet: Dual-Target Protein Sequence Design Method Based on Protein Language Model and Structure Model

ProDualNet designs dual-target protein sequences by integrating sequence-structure information from two receptors, showing better recovery and success rates than existing methods.

Precise Generation of Conformational Ensembles for Intrinsically Disordered Proteins via Fine-tuned Diffusion Models

This paper introduces IDPFold, a diffusion model that generates conformational ensembles for intrinsically disordered proteins directly from sequences, without requiring MSA or experimental data.

Protein Language Model Supervised Scalable Approach for Diverse and Designable Protein Motif-Scaffolding with GPDL

The paper introduces GPDL, a protein language model approach for motif-scaffolding that outperforms existing methods in generating diverse and accurate protein structures.