Dr. Chen Song was invited to give a talk at the international workshop "Frontier of Dynamic Structural Biology" on 18 Oct. Our latest work, "Exploring the alternative conformation of a known protein structure based on deep learning predictions", was presented.

Qingyang and Jingze passed their qualifying exams. Congrats!

On 2 September, Dr. Chen Song was invited to give a talk for the World AI Conference 2022 (AI for Science, Shanghai). He discussed some of our preliminary studies and thoughts on how to combine AI with physics-based simulations for the study of biomolecules.

Congratulations to Chang and Kai, who have passed their midterm evaluation and qualifying exams, respectively.

Dr. Chen Song was invited to give a talk at the "15th World Congress on Computational Mechanics" on 2 Aug. He presented our recent work "The Gating Mechanism of the Mechanosensitive Ion Channel NOMPC".

Chunhong and Hanyuan have left the group. Chunhong joined BeiGene to work on computer-aided drug design, while Hanyuan joined inspr Group to become a software engineer. We wish they have a successful future in their career.

Lingfeng XUE joined the group after finishing his three rotations. Welcome!! Lingfeng majored in biology at Peking University, and he has always been highly interested in physics and took many physical classes. He will be working on model development and molecular dynamics simulations.

Chunhong and Lei passed their PhD vivas on 25 May, congratulations!! It's a pity that the vivas had to be virtual, but it went smoothly and the former members of the group were able to join remotely and share the joy!

Congratulations to Hanyuan! Hanyuan passed his Master viva on 19 May. Due to the COVID-19, we had to conduct the viva online, but it went pretty well. Many thanks to Profs. Minghua Deng, Chunxiong LUO, and Jianfeng PEI for giving the exam. Song did a great job organizing the whole event.

We have a new member, Zefeng ZHU, joining us to pursue his PhD after finishing his rotations. Zefeng is a graduate student of the PTN (Peking University-Tsinghua University-National Institute Biological Sciences) joint program, who is interested in the geometric representations of biomacromolecules and deep generative models.