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http://purl.uniprot.org/citations/26106439http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/26106439http://www.w3.org/2000/01/rdf-schema#comment"

Aims

To optimize and verify the regulatory pathway of p42.3 in the pathogenesis of gastric carcinoma (GC) by intelligent algorithm.

Methods

Bioinformatics 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.

Results

In 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.

Conclusions

The 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."xsd:string
http://purl.uniprot.org/citations/26106439http://purl.org/dc/terms/identifier"doi:10.1155/2015/683679"xsd:string
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/author"Hao Y."xsd:string
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/author"Fan T."xsd:string
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/author"Nan K."xsd:string
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/date"2015"xsd:gYear
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/name"Comput Math Methods Med"xsd:string
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/pages"683679"xsd:string
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/title"Optimization and Corroboration of the Regulatory Pathway of p42.3 Protein in the Pathogenesis of Gastric Carcinoma."xsd:string
http://purl.uniprot.org/citations/26106439http://purl.uniprot.org/core/volume"2015"xsd:string
http://purl.uniprot.org/citations/26106439http://www.w3.org/2004/02/skos/core#exactMatchhttp://purl.uniprot.org/pubmed/26106439
http://purl.uniprot.org/citations/26106439http://xmlns.com/foaf/0.1/primaryTopicOfhttps://pubmed.ncbi.nlm.nih.gov/26106439
http://purl.uniprot.org/uniprot/#_Q86UD0-mappedCitation-26106439http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/26106439
http://purl.uniprot.org/uniprot/#_Q96GJ3-mappedCitation-26106439http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/26106439
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