image: MCDB is a proprietary, standard, and comprehensive database for mitotic catastrophe (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.
Mitotic Catastrophe Database (MCDB) is a proprietary, standard, and comprehensive database for Mitotic catastrophe (MC) related data facilitating the exploration of MC for all researchers in the fields of medicinal chemistry, molecular biology, bioinformatics and oncology.
MC is a form of programmed cell death induced by mitotic process disorders, which is important in tumor prevention, development, and drug resistance. As availability of MC data underpins tumor-related biomedical and clinical studies, the development of a professional and comprehensive database to curate MC-related data is a matter of increasing priority.
MCDB consists of 1214 genes/proteins and 5014 compounds collected and organized from more than 8000 research articles. MCDB defines the confidence level, classification criteria, and uniform naming rules for MC-related data, which greatly improves data reliability and retrievability. MCDB also 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.