The postponed CQB annual meeting (2022) was held on 18 Mar 2023. Jiaxuan presented her work on exploring the alternative conformations of proteins from deep learning predictions, and won the scholarship of quantitative biology. Congratulations!!

Dr. Song was invited to give two online talks lately: one at the forum on chemical biology (4 Mar), and the other at the forum on simulations of biomolecules (10 Mar). Sometimes, online meetings and seminars are indeed more convenient ...

Congratulations to Kai and Lei for the publication of the ProtRAP paper in JCIM (Link). In this paper, we further utilized the membrane contact probability (MCP) from the MemProtMD database and developed a deep learning based predictior that can tell which residues of a given protein sequence are lipid accessible, solvent (water) accessible, or buried in the protein interior. This tool may find wide applications in protein structure prediction and drug discovery, especially when membrane proteins are involved. For quick predictions, an online server has been setup: http://www.songlab.cn/ProtRAP/home/

One of our collaboraive projects has been published in PNAS online. In this paper, we collaborated with Prof. Long LI's lab and performed MD simulations on the structures of SecA-SecY to reveal its peptide/protein translocation mechanism. Although only part of our simulation results was incorporated in the paper, the collaboration has inspired us to develop a new simulation method... Congratulations to Song, and thanks to all the collaborators!

The "Quantitative Biology Symposium 2022" was successfully held by the Center for Quantitative Biology (CQB) at Peking University on 3-4 Dec. The symposium is one of the series activities to celebrate the 20^th anniversary of CQB, which was founded in 2001 to develop pioneering interdisciplinary and quantitative biological studies in China. We are proud to be part of CQB for the past six years! 

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".