Abu-Asab Mones, Chaouchi Mohamed, Amri Hakima
Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
J Proteome Res. 2006 Sep;5(9):2236-40. doi: 10.1021/pr0504485.
Phyloproteomics is a novel analytical tool that solves the issue of comparability between proteomic analyses, utilizes a total spectrum-parsing algorithm, and produces biologically meaningful classification of specimens. Phyloproteomics employs two algorithms: a new parsing algorithm (UNIPAL) and a phylogenetic algorithm (MIX). By outgroup comparison, the parsing algorithm identifies novel or vanished MS peaks and peaks signifying up or down regulated proteins and scores them as derived or ancestral. The phylogenetic algorithm uses the latter scores to produce a biologically meaningful classification of the specimens.
系统发育蛋白质组学是一种新型分析工具，它解决了蛋白质组分析之间的可比性问题，采用全谱解析算法，并对样本进行具有生物学意义的分类。系统发育蛋白质组学采用两种算法：一种新的解析算法（UNIPAL）和一种系统发育算法（MIX）。通过外类群比较，解析算法识别新出现或消失的质谱峰以及表示蛋白质上调或下调的峰，并将它们标记为衍生峰或祖先峰。系统发育算法利用后者的得分对样本进行具有生物学意义的分类。
