WCSE 2017
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.235

Aminotransferases Screening of Nitro-D-Arginine Using Molecular Modeling

Xiangfei Yang, Shupeng Liu, Na Chen, Zhenyi Chen, Yanfei Xin, Heng Zhang, Taihao Li

Abstract— This study is intended to screen the potential aminotransferases using molecular modeling technique. In detail, the sybyl-x software was employed to simulate the second step of catalysis process of nitro-D-arginine (D-NNA) by aminotransferases whose structural data were from Protein Data Bank (PDB). Results showed the most suitable candidate aminotransferase was human mitochondrial aspartate aminotransferase in the range of our research, which might aid to shortening the drug developing cycle and increasing the efficiency of lead compound discovery.

Index Terms— molecular modeling, aminotransferase screen, nitro-D-arginine

Xiangfei Yang, Shupeng Liu, Na Chen, Zhenyi Chen, Heng Zhang
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, CHINA
Yanfei Xin
2State Key Laboratory of Safety Evaluation for New Drugs, Zhejiang Academy of Medical Sciences, CHINA
Taihao Li
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, CHINA

ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.17Xsrc="http://www.wcse.org/uploadfile/2019/0823/20190823055609629.png" style="width: 120px; height: 68px;" />[Download]


Cite: Xiangfei Yang, Shupeng Liu, Na Chen, Zhenyi Chen, Yanfei Xin, Heng Zhang, Taihao Li, "Aminotransferases Screening of Nitro-D-Arginine Using Molecular Modeling," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 1358-1361, Beijing, 25-27 June, 2017.