MCP paper online


WANG Lei has been developing a new method to predict the membrane contact probability (MCP) of each residue from a given protein sequence, by utilizing a deep neural network and data generated from molecular dynamics simulations. This new method has shown great potential in the structural and functional studies of membrane proteins. The paper is now published online in PLoS Computational Biology. Congratulations!! A web server is available for the MCP prediction from a protein sequence.


Atomistic model of SARS-CoV-2


Dali and Jiaxuan have been trying hard to build an atomistic model of SARS-CoV-2 as intact as possible. Although lacking RNA, the model represents the most complete structure of the virion at the moment. The model was constructed based on a Cryo-ET map from the Sai Lab at Tsinghua University. Hopefully, this will be helpful for scientific demonstration and education. The preprint can be found here.


CQB annual meeting


Chunhong gave a talk about her work on the Ca++ selectivity of RyRs at the CQB annual meeting held on 15 Jan 2022. Lei, Chang, Jiaxuan, Qingyang, Kai, and Jingze presented posters to discuss their projects with colleagues of CQB.


MOST-RIKEN meeting


Together with Dr. Yuji Sugita (RIKEN) and Prof. Shoji Takada (Kyoto University), we organized an international meeting: Symposium on Computer Simulations and Cryo-ET/EM of Complex Biomolecular Systems, 18-19 Nov 2021. We received over 400 registrations from 32 countries, and there were nearly 200 people connected online in the virtual meeting. We discussed computer simulations and Cryo-ET/EM for membrane protein systems, as well as advances in enhanced sampling and accelerated MD methods. It was a wonderful event, supported by our MOST-RIKEN international collaboration grant.


Congrats to Song

Congratulations to Song YANG, who has passed his qualifying exam! Song is working on a mechanosensitive ion channel and has found something surprising …

Dr. Zhenli XU visited us


Invited by Dr. Chen SONG, Dr. Zhenli XU from Shanghai Jiao Tong University visited us and presented his exciting work on the random batch Ewald method and improved Poisson-Nernst-Planck (PNP) method for computational studies of charged systems. We had fruitful discussions, and we look forward to extensive collaborations with Dr. XU’s group!


Yanyan and Yang left

Yanyan and Yang have finished their postdoc training in the group and moved on to their new and more independent positions. Both of them have done well in the last several years. Yanyan was a semi-independent member of the group, supported by the Boya Fellowship, and she has learned extensive modeling and simulation techniques. Yang has also made progress in every aspect of his research. We wish them all the best in their future career development.