MacMatch：一种基于模式的蛋白质二级结构预测工具。

MacMatch: a tool for pattern-based protein secondary structure prediction.

作者信息

Presnell S R, Cohen B I, Cohen F E

机构信息

Department of Pharmaceutical Chemistry, University of California-San Francisco 94143-0446.

出版信息

Comput Appl Biosci. 1993 Jun;9(3):373-4. doi: 10.1093/bioinformatics/9.3.373.

DOI:10.1093/bioinformatics/9.3.373

PMID:8324639

Abstract

A program is described for predicting the secondary structure of globular proteins on an Apple Macintosh computer. MacMatch produces turn predictions using augmented regular expression pattern matching. Helix and strand predictions are based on a neural network. Protein structural class (alpha/alpha), beta/beta, alpha/beta can be exploited to improve secondary structure prediction. The program is simple to use, and the package includes sets of tested patterns and trained neural networks.

摘要

本文描述了一个在苹果麦金塔电脑上预测球状蛋白质二级结构的程序。MacMatch使用增强的正则表达式模式匹配来进行转角预测。螺旋和链的预测基于神经网络。蛋白质结构类别（α/α、β/β、α/β）可用于改进二级结构预测。该程序使用简单，软件包包含经过测试的模式集和经过训练的神经网络。