Analysis of the p42.3 protein structure and regulatory network

• 作 者: ZHANG JianHua MA Wang SHANG ZhiGang XING Rui SHI Li LU YouYong
• 机 构: Department of Biomedical Engineering, School of Electrical Engineering, Zhengzhou University,Oncolog
• 出 处: Chinese Science Bulletin
• 发表日期: 2013年08期
• 关键词: Bayesian participate bioinformatics advance similarity mucosal coordinates possi

p42.3 is a recently discovered gene that may participate in the regulation of gastric cancer cell generation and development. In this research, we analyzed the predicted p42.3 protein structure using bioinformatics tools, established the regulatory network of the protein molecule and found the optimal pathway using a Bayesian network model.

p42.3 is a recently discovered gene that may participate in the regulation of gastric cancer cell generation and development. In this research, we analyzed the predicted p42.3 protein structure using bioinformatics tools, established the regulatory network of the protein molecule and found the optimal pathway using a Bayesian network model.