ArticleActa pharmaceutica Sinica. B2021
MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction.
Article in Acta pharmaceutica Sinica. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- MSF-HierGNN: a multi-source substructure-fusion hierarchical GNN method and web server to predict molecular property for drug design.Briefings in bioinformatics · 2026Article
- Deciphering the rules of regulated cell death subroutines by in silico methods.Journal of advanced research · 2026Review
- A deep learning and large language hybrid workflow for omics interpretation.Nature biomedical engineering · 2026Article
- Diffusion Model-Based Multi-Channel EEG Representation and Forecasting for Early Epileptic Seizure Warning.Interdisciplinary sciences, computational life sciences · 2026Article
- Applications of large-scale artificial intelligence models in bioinformatics.Quantitative biology (Beijing, China) · 2026Review
- Locus-Specific Convergent Evolution and Interchromosomal Rearrangements Contribute to the Diversification of Amniote Type I Interferons.Evolutionary applications · 2026Article
- A data privacy protection method for infectious disease prediction models with balanced training speed and accuracy.Scientific reports · 2026Article
- IFNIKB: a type I interferon database for antitumuor immunity studies.Database : the journal of biological databases and curation · 2026Article
- SPC24 boosts tumor progression and correlates with immune infiltrates in pancreatic adenocarcinoma.Frontiers in oncology · 2026Article
- Network-informed deconvolution of bulk immune gene co-expression reveals single-cell programs and spatial organization.Frontiers in immunology · 2026Article
- Biologically Informed Machine Learning Prioritizes Dietary Supplements That Protect Neural Crest Cells from Ethanol-Induced Epigenetic Dysregulation and Developmental Impairment.International journal of molecular sciences · 2025Article
- Targeted delivery of the PKMYT1 inhibitor RP-6306 mediates PANoptosis in pancreatic cancer via mitotic catastrophe.Cell death & disease · 2025Article
- DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction.Bioinformatics (Oxford, England) · 2025Article
- CpG Island Definition and Methylation Mapping of the T2T-YAO Genome.Genomics, proteomics & bioinformatics · 2024Article
- A Review of the Application of Spatial Transcriptomics in Neuroscience.Interdisciplinary sciences, computational life sciences · 2024Review
- Re-examination of statistical relationships between dietary fats and other risk factors, and cardiovascular disease, based on two crucial datasets.Quantitative biology (Beijing, China) · 2024Article
- Developing a prognosis and chemotherapy evaluating model for colon adenocarcinoma based on mitotic catastrophe-related genes.Scientific reports · 2024Article
- A comprehensive review of artificial intelligence for pharmacology research.Frontiers in genetics · 2024Review
- PCGIMA: developing the web server for human position-defined CpG islands methylation analysis.Frontiers in genetics · 2024Article
- Mitotic catastrophe heterogeneity: implications for prognosis and immunotherapy in hepatocellular carcinoma.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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/.
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