HAIPENG GONG

Associate Professor

School of Life Sciences, Tsinghua University

Education and work experience

1993-1997 Department of Biological Science and Biotechnology, Tsinghua University B.S.

Research Interest

Protein structure prediction and modeling
Methodology development for protein design, structural generation and sequence optimization
Computation and prediction of protein structural dynamics and function

Selected Publications

Yuyang Zhang^#, Yuhang Liu^#, Zinnia Ma^#, Min Li, Chunfu Xu*, and Haipeng Gong*, “Improving diffusion-based protein backbone generation with global-geometry-aware latent encoding”, Nature Machine Intelligence, 7： 1104–1118, 2025.
Tianyu Mi^#, Nan Xiao, and Haipeng Gong*, “GDFold2: A fast and parallelizable protein folding environment with freely defined objective functions”, Protein Science, 34(2): e70041, 2025.
Yinghui Chen^#, Yunxin Xu^#, Di Liu, Yaoguang Xing, and Haipeng Gong*, “An end-to-end framework for the prediction of protein structure and fitness from single sequence”, Nature Communications, 15: 7400, 2024.
Yunxin Xu^#, Di Liu, and Haipeng Gong*, “Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy”, Nature Computational Science, 4: 840–850, 2024.
Wenzhi Mao^#, Wenze Ding, Yaoguang Xing, and Haipeng Gong*, “AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction”, Nature Machine Intelligence, 2: 25-33, 2020.

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