报告题目： Illuminating the 3D Structure of RNA with 3DNA-DSSR
报告人： Xiang-Jun Lu（Columbia University）
Insight into the intricate 3D architecture of RNA is essential to understanding its cellular functions and facilitates the design of nanostructures based on structural motifs. However, even small non-coding RNA molecules (such as tRNA, riboswitches, and ribozymes) contain features that are overlooked by existing bioinformatics tools. DSSR (Dissecting the Spatial Structure of RNA, http://docs.x3dna.org/dssr-manual.pdf) is an integrated tool for analyzing and annotating RNA tertiary structures, built upon the widely cited 3DNA suite of software programs. DSSR has been created from the bottom up to streamline the characterization of 3D structure of RNA, automatically and consistently. Over the past few years, DSSR has quickly become a de facto cornerstone tool for RNA structural bioinformatics, enabling a broad range of applications. Specifically, DSSR is a tool that analyzes experimentally determined RNA structures, a means to collect and analyze structural features (including kink-turns and G-quadruplexes) across known 3D structures, and a component of other bioinformatics resources. Notably, DSSR has been integrated into Jmol and PyMOL, two popular 3D molecular viewers. The DSSR-Jmol integration fills a gap in RNA structural bioinformatics and brings 3D RNA visualization to an entirely new level. If you are interested in making sense of the 3D structure of RNA (e.g., those in the PDB), you may find DSSR helpful (http://forum.x3dna.org/).
Xiang-Jun Lu, a world-leading expert in computational structural biology, specializing in the structural bioinformatics of DNA, RNA, and their complexes with proteins. He is a Research Scientist at the Department of Biological Sciences, Columbia University, and has been Principal Investigator (PI) of NIH-funded R01 awards since 2011. He is the creator of 3DNA, a standard tool for building and analyzing nucleic acid structures. He has 45 peer-reviewed research publications in professional journals such as Nature Protocols, PNAS, Nucleic Acids Res, and J Mol Biol, and his papers have received about 5,000 citations.