Chang has completed her doctoral studies and she will pursue postdoctoral work at Lehigh University. Zigang has finished his undergraduate degree and he decides to continue his education at Lehigh University by pursuing a doctorate. Wishing them both much success and fulfillment in their future endeavors!
We are thrilled to welcome Tadsanee Awang to our group! After completing her first postdoctoral work, she will continue as a postdoctoral researcher with us. In her new role, Tadsanee will continue to focus on molecular dynamics simulations of antimicrobial peptides, and we look forward to the contributions she will make. Welcome, Tadsanee!
Jiaxuan and Song have completed their doctoral training and left the group for their new positions. They have done excellent work in their doctoral studies on the prediction of the alternative conformations of proteins and Switching Go-Martini simulations, respectively. We wish them all the best in their future career endeavors.
The Quantitative Biology 2024: Biomedical Data and AI conference was held in Chengdu, China, from July 15 to 18, 2024. Some members of our group, including Prof. Chen SONG, Kai, Zefeng, and Ruihan attended the conference. A special highlight was Zefeng's presentation of his novel model, FoldPolicy, along with his talk titled "Probabilistic matching and decoding of protein conformations".
Prof. Chen SONG was honored with an invitation to give a talk at IUPAB2024 Hands-on Training Program in Kobe, Japan. He presented our group's research titled "Gating mechanisms of the mechanosensitive ion channel NOMPC: new insights from molecular dynamics simulations". It was a fantastic opportunity for knowledge sharing, and members of our group, including Zhongjie, Qingyang and Haozhe, also attended the conference.
Prof. Chen SONG was invited to give a talk at the International Union for Pure and Applied Biophysics (IUPAB2024) congress in Kyoto, Japan , where he presented our recent work titled "Modelling multistate structures of proteins and simulating their conformational transitions". Additionally, members of our group, including Zhongjie, Qingyang, and Haozhe, attended the conference.
The collaborative research on VAChT has been published in Cell Research online! In this paper, we collaborated with Prof. Zhe Zhang's lab and performed molecular dynamics (MD) simulations on the structures of human vesicular acetylcholine transporter (VAChT or SLC18A3) in complex with vesamicol or its native substrate Acetylcholine (ACh). The findings from this work contribute to a better understanding of the structural and functional mechanisms of VAChT and its interactions with two important ligands. Congratulations to Nanhao on the successful publication!
On June 6, 2024, Prof. Frank Noé from the Freie Universität Berlin was invited by Prof. Chen Song to present a CQB seminar titled "Advancing molecular physics with deep learning". In his presentation, Prof. Frank Noé provided an overview of highly accurate computational methods for determining quantum states using deep fermionic neural networks and Quantum Monte Carlo. He also discussed the approaches to address the many-body sampling problem with generative deep learning.
