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G. Wu and S. Yan, (2001) Analysis of distributions of amino acids and amino acid pairs in human tumor necrosis factor precursor and its eight variants according to random mechanism, J. Mol. Model, 7, 318-323.

has been cited by the following article:

• TITLE: Descriptively probabilistic relationship between mutated primary structure of von Hippel-Lindau protein and its clinical outcome

  AUTHORS: Shao-Min Yan, Guang Wu

  KEYWORDS: Amino Acid; Bayes’ Law; Cross-Impact Analysis; Distribution Probability; Mutation; Von Hip-pel-Lindau Disease

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.2 No.3, May 27, 2009

  ABSTRACT: In this study, we use the cross-impact analysis to build a descriptively probabilistic relationship between mutant von Hippel-Lindau protein and its clinical outcome after quantifying mutant von Hippel-Lindau proteins with the amino-acid distribution probability, then we use the Bayes-ian equation to determine the probability that the von Hippel-Lindau disease occurs under a mutation, and finally we attempt to distinguish the classifications of clinical outcomes as well as the endocrine and nonendocrine neoplasia induced by mutations of von Hippel-Lindau protein. The results show that a patient has 9/10 chance of being von Hippel-Lindau disease when a new mutation occurs in von Hippel- Lindau protein, the possible distinguishing of classifications of clinical outcomes using mod-eling, and the explanation of the endocrine and nonendocrine neoplasia in modeling view.