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MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target
Le Zhang1,2,3, Lei Zhang1, Yue Guo1
1Innovation Center of Nursing Research, West China Biomedical Big Data Center, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, College of Computer Science, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610065, China.
Mitotic catastrophe (MC) is crucial in cancer research. A new database, MCDB, curates extensive MC data, including genes, proteins, and compounds, aiding drug discovery and molecular biology studies.
Area of Science:
- Biomedical research
- Bioinformatics
- Oncology
Background:
- Mitotic catastrophe (MC) is a programmed cell death pathway critical in tumor biology, influencing prevention, development, and drug resistance.
- The rapid expansion of data necessitates a centralized, professional resource for MC-related information to advance biomedical and clinical studies.
Purpose of the Study:
- To develop and present the Mitotic Catastrophe Database (MCDB), a comprehensive resource for MC-related data.
- To enhance data reliability, retrieval convenience, and facilitate further research in MC.
Main Methods:
- Curated data from over 8000 research articles, including 1214 genes/proteins and 5014 compounds.
- Established confidence levels, classification criteria, and uniform naming rules for MC data.
- Developed protein sequence alignment and target prediction functions.
Main Results:
- The MCDB integrates a substantial collection of MC-associated genes, proteins, and compounds.
- Standardized data management improves reliability and accessibility for researchers.
- Integrated tools enable prediction of novel MC genes/proteins and compound targets.
Conclusions:
- MCDB provides a proprietary, standardized, and comprehensive resource for exploring mitotic catastrophe.
- Facilitates interdisciplinary research in medicinal chemistry, molecular biology, bioinformatics, and oncology.
- A valuable tool for advancing the understanding and therapeutic targeting of cancer.
