Bozitao Zhong

Orcid: 0000-0001-9363-6099

According to our database1, Bozitao Zhong authored at least 20 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Self-evolving AI agents for protein discovery and directed evolution.
CoRR, March, 2026

Rank-and-Reason: Multi-Agent Collaboration Accelerates Zero-Shot Protein Mutation Prediction.
CoRR, February, 2026

2025
VenusX: Unlocking Fine-Grained Functional Understanding of Proteins.
CoRR, May, 2025

Personalized Energy Adaptation through Reweighting Learning (PEARL) Force Field for Intrinsically Disordered Proteins.
J. Chem. Inf. Model., 2025

Autoregressive enzyme function prediction with multi-scale multi-modality fusion.
Briefings Bioinform., 2025

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models.
J. Chem. Inf. Model., 2024

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion.
CoRR, 2024

Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations.
CoRR, 2024

ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ReactZyme: A Benchmark for Enzyme-Reaction Prediction.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Phosphorylation Modification Force Field FB18CMAP Improving Conformation Sampling of Phosphoproteins.
J. Chem. Inf. Model., March, 2023

PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design.
CoRR, 2023

Score-based Enhanced Sampling for Protein Molecular Dynamics.
CoRR, 2023

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Protein Sequence and Structure Co-Design with Equivariant Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking.
CoRR, 2022

ParaFold: Paralleling AlphaFold for Large-Scale Predictions.
Proceedings of the HPCAsia 2022 Workshop: International Conference on High Performance Computing in Asia-Pacific Region Workshops, Virtual Event Japan, January 11, 2022


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