Agrafiotis D K
3-Dimensional Pharmaceuticals, Inc., Exton, Pennsylvania 19341, USA.
Protein Sci. 1997 Feb;6(2):287-93. doi: 10.1002/pro.5560060203.
Recent advances in gene sequencing and rational drug design have re-emphasized the need for new methods for protein analysis, classification, and structure and function prediction. In this article, we introduce a new method for analyzing protein sequences based on Sammon's non-linear mapping algorithm. When applied to a family of homologous sequences, the method is able to capture the essential features of the similarity matrix, and provides a faithful representation of chemical or evolutionary distance in a simple and intuitive way. The merits of the new algorithm are demonstrated using examples from the protein kinase family.
基因测序和合理药物设计方面的最新进展再次凸显了对蛋白质分析、分类以及结构和功能预测新方法的需求。在本文中，我们介绍了一种基于 Sammon 非线性映射算法分析蛋白质序列的新方法。当应用于一组同源序列时，该方法能够捕捉相似性矩阵的基本特征，并以简单直观的方式忠实呈现化学或进化距离。通过蛋白质激酶家族的实例展示了新算法的优点。
