1.Content Determination of Buddleoside in Compound Yinpujiedu Tablet by HPLC
Yuling LI ; Rongfang QIN ; Chengcan ZHANG
Chinese Journal of Information on Traditional Chinese Medicine 2006;0(12):-
Objective To establish a method for content determination of Buddleoside in Compound Yinpujiedu Tablet. Method HPLC method, Agilent Eclipse XDB-C18 column (4.6 mm?250 mm, 5 ?m) was used, mobile phase was methanol-4% glacial acetic acid (47∶53), and the detecting wavelength was set at 334 nm. Result The standard curve was linear within the range of 2.24~44.8 ?g. The average recovery and RSD were 97.8% and 1.52%, respectively. Conclusion This method is accurate, reliable, and can provide a scientic index for quality control of Compound Yinpujiedu Tablet.
2.MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction.
Le ZHANG ; Lei ZHANG ; Yue GUO ; Ming XIAO ; Lu FENG ; Chengcan YANG ; Guan WANG ; Liang OUYANG
Acta Pharmaceutica Sinica B 2021;11(10):3092-3104
Mitotic catastrophe (MC) is a form of programmed cell death induced by mitotic process disorders, which is very important in tumor prevention, development, and drug resistance. Because rapidly increased data for MC is vigorously promoting the tumor-related biomedical and clinical study, it is urgent for us to develop a professional and comprehensive database to curate MC-related data. Mitotic Catastrophe Database (MCDB) consists of 1214 genes/proteins and 5014 compounds collected and organized from more than 8000 research articles. Also, MCDB defines the confidence level, classification criteria, and uniform naming rules for MC-related data, which greatly improves data reliability and retrieval convenience. Moreover, MCDB develops protein sequence alignment and target prediction functions. The former can be used to predict new potential MC-related genes and proteins, and the latter can facilitate the identification of potential target proteins of unknown MC-related compounds. In short, MCDB is such a proprietary, standard, and comprehensive database for MC-relate data that will facilitate the exploration of MC from chemists to biologists in the fields of medicinal chemistry, molecular biology, bioinformatics, oncology and so on. The MCDB is distributed on http://www.combio-lezhang.online/MCDB/index_html/.