估计一个蛋白质家族属于一个新折叠子的概率

ESTIMATE THE PROBABILITY OF WHETHER A PROTEIN FAMILY CONTRIBUTES A NEW FOLDS

关于蛋白质家族、结构和新功能的统计推断是应用数理统计的一个前沿交叉研究方向.本文以蛋白质结构分类数据库SCOP和序列分类数据库Pfam为基础,结合SCOP数据库的动态信息,我们估计出覆盖当前Pfam数据库所需的折叠子总数;通过SCOP中新增家族在Pfam中的对应家族所属的折叠子是否已知为先验信息构建贝叶斯模型,估计了不同规模的Pfam家族贡献新折叠子的概率分布.

The statistical inference for the protein families,structures and new functions is a frontier research field in the applied statistics.Based on the SCOP(Structural Classification of Proteins database)and Pfam(Sequence Classification database),and the dynamic information of the SCOP database,we first estimate the total number of the folds,which are needed to cover the current Pfam database.By constructing the Bayesian Model with the prior information of whether the folds are previously known which cover the Pfam families mapping by the newly appeared SCOP families,we then estimate the probability distributions of whether a Pfam family with given size contributes a new folds.