Q. S. Du, R. B. Huang, Y. T. Wei, L. Q. Du and K. C. Chou, (2008) Multiple Field Three Dimensional Quantitative Structure- Activity Relationship (MF-3D-QSAR). Journal of Computational Chemistry, 29, 211-219.

has been cited by the following article:

• TITLE: The pattern of co-existed posttranslational modifications-A case study

  AUTHORS: Zheng-Rong Yang

  KEYWORDS: posttranslational modification, bioinformatics, pattern analysis, posttranslational modification, pattern analysis, probability model

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.2 No.1, February 13, 2009

  ABSTRACT: Posttranslational modifications are a class of important cellular activities in various bio-chemical processes including signalling trans-duction, gene/metabolite networks, and disease development. It has been found that multiple posttranslational modifications with the same or different modification residues can co-exist in the same protein and this co-occurrence is critical to signalling networks in cells. Although some biological studies have spotted this phe-nomenon, little bioinformatics study has been carried out for understanding its mechanism. Four data sets were downloaded from NCBI for the study. The joint probabilities of any two neighbouring posttranslational modification sites of different modification residues were analyzed. The Bayesian probabilistic network was derived for visualizing the relationship be-tween a target modification and the contributing modifications as the predictive factors.