袁乾沐                                

联系方式：yuanqm3@mail3.sysu.edu.cn                                

研究方向：图神经网络、生物信息学、蛋白功能预测、蛋白设计                                

学科类别：计算机科学与技术                                

简历                                 

2015.09 – 2019.06    中山大学  生物技术 理学学士                                                 

2019.09 – 2024.06    中山大学  计算机科学与技术 工学博士                                

2024.06 – 至今          国家超级计算深圳中心（深圳云计算中心） 博士后

参与学术活动情况                                

[1]  Yuan, Q., Tian, C., Song, Y., Ou, P., Zhu, M., Zhao, H.*, & Yang, Y.* (2024). GPSFun: geometry-aware protein sequence function predictions with language models. Nucleic Acids Research, 52(W1), W248-W255.

[2]  Song, Y. #, Yuan, Q. #, Chen, S., Zeng, Y., Zhao, H., & Yang, Y.* (2024). Accurately predicting enzyme functions through geometric graph learning on ESMFold-predicted structures. Nature Communications, 15(1), 8180.

[3]  Yuan, Q., Tian, C., & Yang, Y.* (2024). Genome-scale annotation of protein binding sites via language model and geometric deep learning. eLife, 13, RP93695.

[4]  Yuan, Q., Xie, J., Xie, J., Zhao, H., & Yang, Y.* (2023). Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion. Briefings in Bioinformatics, 24(3), bbad117.

[5]  Yuan, Q., Chen, S., Rao, J., Zheng, S., Zhao, H., & Yang, Y.* (2022). AlphaFold2-aware protein-DNA binding site prediction using graph transformer. Briefings in Bioinformatics, 23(2), bbab564.

[6]  Yuan, Q., Chen, J., Zhao, H., Zhou, Y., & Yang, Y.* (2022). Structure-aware protein-protein interaction site prediction using deep graph convolutional network. Bioinformatics, 38(1), 125-132.