In 2020, AlphaFold2 achieved remarkable breakthroughs in the field of protein structure prediction, sparking a surge of research combining artificial intelligence (AI) and structural bioinformatics, further advancing the discipline of life sciences.

By learning from vast amounts of biomacromolecular data, AI algorithms are able to identify hidden patterns and associations, accelerate the prediction of protein tertiary structures and enable more practical protein design. They can capture the correlations between known protein structures and sequences more accurately, predict the impact of structural changes on protein functions, annotate protein functions and analyze protein interaction networks.

This revolution is set to profoundly upgrade the research paradigm in life sciences, injecting new vitality into drug development, disease treatment and the advancement of biological sciences.

This session on the integration of AI into structural bioinformatics will invite distinguished experts in the field to share progress in their research, and explore the application prospects for the discipline in life sciences.

Chairs

Li Guohui

Researcher, Liaoning Normal University & Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS)

Cao Yang

Professor, Sichuan University

Invited speakers & reports

Bu Dongbo

Researcher, Institute of Computing Technology, CAS

Report: ProAffinity: A protein affinity prediction algorithm

Huang Shengyou

Professor, Huazhong University of Science and Technology

Report: AI-based optimization of cryo-EM density maps and structural modeling

Gong Haipeng

Associate professor, Tsinghua University

Report: Protein structure prediction and generation

Yang Jianyi

Professor, Shandong University

Report: AI-based RNA structure prediction

Zhang Guijun

Professor, Zhejiang University of Technology

Report: Protein folding and polymorphic conformation prediction methods

Li Yang

Researcher, National University of Singapore

Report: High-precision RNA structure prediction combining RNA language models and deep potential

Zhou Hangyu

Institute of Systems Medicine, Chinese Academy of Medical Sciences & Suzhou Institute of Systems Medicine    

Report: Using AI technology to combat infectious diseases: Progress, challenges and prospects

Zhang Yan    

Institute of Biophysics, CAS

Report: IsoVEM: Transformer-based accurate and robust isotropic reconstruction methods for VEM