1. Research progress of pharmacogenomics of new oral anticoagulant
Di MEI ; Chunyan LIU ; Chengcan LU ; Di MEI ; Jizhong SHEN ; Chunyan LIU ; Chengcan LU ; Wei XU ; Yuzhu PENG
Chinese Journal of Clinical Pharmacology and Therapeutics 2021;26(10):1200-1207
The new oral anticoagulants (NOAC) dabigatran, rivaroxaban, apixaban, and edoxaban are widely used in clinical anticoagulation because of their fixed doses and superior safety. Studies have pointed out that there are large inter-individual differences in the pharmacokinetic parameters and response of NOAC, which may be related to the genetic polymorphisms of transporters and metabolic enzymes involved in in-vivo processes. This article reviews the influence of gene polymorphism on the pharmacokinetics and adverse reactions of NOAC, and provides directions for future research.
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/.