ArticleComputational and mathematical methods in medicine2015
Optimization and Corroboration of the Regulatory Pathway of p42.3 Protein in the Pathogenesis of Gastric Carcinoma.
Article in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Function and Regulation of SAPCD2 in Physiological and Oncogenic Processes.Journal of Cancer · 2022Review
- Overexpression of SAPCD2 correlates with proliferation and invasion of colorectal carcinoma cells.Cancer cell international · 2020Article
- Establishment of optimal regulatory network of colorectal cancer based on p42.3 protein.Saudi journal of biological sciences · 2017Article
- Depletion of p42.3 gene inhibits proliferation and invasion in melanoma cells.Journal of cancer research and clinical oncology · 2017Article
- Corrigendum to "Optimization and Corroboration of the Regulatory Pathway of p42.3 Protein in the Pathogenesis of Gastric Carcinoma".Computational and mathematical methods in medicine · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo optimize and verify the regulatory pathway of p42.3 in the pathogenesis of gastric carcinoma (GC) by intelligent algorithm.
methodsBioinformatics methods were used to analyze the features of structural domain in p42.3 protein. Proteins with the same domains and similar functions to p42.3 were screened out for reference. The possible regulatory pathway of p42.3 was established by integrating the acting pathways of these proteins. Then, the similarity between the reference proteins and p42.3 protein was figured out by multiparameter weighted summation method. The calculation result was taken as the prior probability of the initial node in Bayesian network. Besides, the probability of occurrence in different pathways was calculated by conditional probability formula, and the one with the maximum probability was regarded as the most possible pathway of p42.3. Finally, molecular biological experiments were conducted to prove it.
resultsIn Bayesian network of p42.3, probability of the acting pathway "S100A11→RAGE→P38→MAPK→Microtubule-associated protein→Spindle protein→Centromere protein→Cell proliferation" was the biggest, and it was also validated by biological experiments.
conclusionsThe possibly important role of p42.3 in the occurrence of gastric carcinoma was verified by theoretical analysis and preliminary test, helping in studying the relationship between p42.3 and gastric carcinoma.
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