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Our finding that bacterial RNAs can localize to different cellular domains independently of translation (Science, 2011) challenged the dogma that transcription and translation are always coupled. Analysis of the E. coli transcriptome revealed that a significant fraction localizes asymmetrically, often correlating with proteome distribution and independent of translation (Mol. Cell, 2019). Notably, the polar transcriptome is unique, enriched in specific mRNAs and most small RNAs (sRNAs). […]
CRISPR-Cas systems are adaptive immune systems found in bacteria or archaea that protect against the invading of mobile genetic elements (MGEs), such as phages and plasmids. To defend against foreign nucleic acids, CRISPR-Cas systems capture short DNA segments from invaders and insert them into the CRISPR array, thus recording a genetic snapshot of potential threats. The CRISPR locus is then transcribed and processed to generate CRISPR RNA (crRNA) that binds and guides the Cas protein effector complex to cleave the genome of the invader when it returns. To counteract CRISPR-Cas systems, […]
Jewel-like memories
Structure and mechanism of a methyl transferase ribozyme
Computational modeling of RNA 3D structures and interactions with the use of experimental data
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Prof. Shi-Jie Chen, University of Missour
, will give a talk on Advancing RNA Structure Prediction with Data-Driven Molecular Dynamics Simulations.
Emerging biomedical advances in precision medicine and synthetic biology highlight RNA’s central role as both a regulator and an information carrier. Because an RNA’s function is dictated by its 3D structure and the structural changes it undergoes, research in this area focuses on predicting the structure along with stability, kinetics, and interactions with metal ions and other molecules from the nucleotide sequence. Key questions include: How can the native fold be built from the sequence? For a given RNA target, how can RNA–small molecule interactions be predicted and potential drug candidates identified? Developing computational tools to address these questions remains challenging due to the limited RNA structural and binding data. To predict 3D structure from sequence, the Vfold pipeline was developed by integrating RNA structural data with statistical analysis and molecular dynamics simulations. This approach led to Vfold being ranked #1 in the RNA category at the international CASP16 (Critical Assessment of Structure Prediction) competition for biomolecular structure predictions. The model offers a useful resource for gaining structure-based insights into RNA function and for accelerating RNA-targeted therapeutic discovery.
For more information about his outstanding work, please visit his profile at
https://physics.missouri.edu/people/chen
Time (ET): 2025-08-27 09:00 AM
Zoom Meeting link:https://us06web.zoom.us/j/83956283221?pwd=jkdf7vkwlivpb5vS2yhx0i8uTsInwC.1
Passcode: 123456
Tencent Meeting: 839 5628 3221
bilibili live link:
https://live.bilibili.com/26427894
Welcome to follow the Guangzhou RNA club official account GzRNA, we will see you on Aug. 27th 2025!
Thanks to the International RNA Society, 表观生物, 博奥龙, 新使生物 and LEXOGEN for their sponsorship support!
More people are welcome!
Based on the applications of the pre-conference participants, 13 students have been awarded 2023 RNA Society trainee memberships for free. It is great to see the participation of students from different institutions, such as Lanzhou University, Nankai University, SIBS, Shanghai Jiaotong University, Melbourne University, Guangzhou Medical University, ShenZhen Bay Laboratory, Sun Yat-sen University and so on.
根据前期会议参与同学申请情况，13位同学已免费获得 2023 RNA Society trainee memberships。很高兴看到不同单位的同学申请，兰大，南开，SIBS，上交，墨尔本，广医，深圳湾，双鸭山等等。
We are organising RNA-Puzzles, which is a community-wide blind assessment of RNA 3D structure prediction. We also work on AI-based RNA design and RNA virus related research.
My lab is interested in the structure and function of nucleic acid aptamers, riboswitches, protein-nucleic acid interactions and catalytic activity in nucleic acids.
My research interests focus on the development and application of experimental and computational methods to discover novel classes of ncRNAs and their functions and mechanisms.
We are interested in eluciding the mechanisms and regulatory roles of RNA modifications on different classes of RNAs through close integration of bioinformatic method development with biochemical experiments.
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Contact:
Building B2, Guangzhou Laboratory
96 Xingdao South Road, Guangzhou International Bio Island,
Haizhu District, Guangzhou, Guangdong, China. (Maps)
Guangzhou RNA club