物理化学学报 >> 2005, Vol. 21 >> Issue (10): 1143-1145.doi: 10.3866/PKU.WHXB20051016

研究论文 上一篇    下一篇

磷脂酶A2家族的功能性分类研究

刘振明; 李博; 来鲁华   

  1. 北京大学化学与分子工程学院, 分子动态与稳态结构国家重点实验室, 北京 100871
  • 收稿日期:2005-05-17 修回日期:2005-06-08 发布日期:2005-10-15
  • 通讯作者: 来鲁华 E-mail:lhlai@pku.edu.cn

Functional Classification of Phospholipase A2 Family

LIU Zhen-ming; LI Bo; LAI Lu-hua   

  1. State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871
  • Received:2005-05-17 Revised:2005-06-08 Published:2005-10-15
  • Contact: LAI Lu-hua E-mail:lhlai@pku.edu.cn

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摘要： 采用“结合强度指纹图谱分析”方法, 通过对多重分子对接得到的作用强度数据进行聚类矩阵分析对蛋白质进行功能分类. 着重研究了磷脂酶A2家族基于抑制剂作用强度的功能分类, 并且与基于序列的聚类结果进行比较, 成功地解决了序列比对方法不能处理的远源蛋白(cPLA2)的分类问题.

关键词: 指纹图谱, 多重分子对接, 功能性蛋白质分类

Abstract: The affinity fingerprint method was used to functionally classify proteins based on the binding data matrix produced by multiple-docking. The method has been applied to the classification of phospholipase A2 enzymes. Though many of the classifications are similar to those from sequence alignment, the human cPLA2 was successfully grouped with bee PLA2 based on the binding site similarity, which can not be handled by sequence alignment due to cPLA2′s low homology with other PLA2s.

Key words: Affinity fingerprint, Multiple docking, Function-based protein classification