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g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines

机译：g-MARS：使用带间隙的马尔可夫链和支持向量机的蛋白质分类

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摘要

Classifying protein sequences has important applications in areas such as disease diagnosis, treatment development and drug design. In this paper we present a highly accurate classifier called the g-MARS (gapped Markov Chain with Support Vector Machine) protein classifier. It models the structure of a protein sequence by measuring the transition probabilities between pairs of amino acids. This results in a Markov chain style model for each protein sequence. Then, to capture the similarity among non-exactly matching protein sequences, we show that this model can be generalized to incorporate gaps in the Markov chain. We perform a thorough experimental study and compare g-MARS to several other state-of-the-art protein classifiers. Overall, we demonstrate that g-MARS has superior accuracy and operates efficiently on a diverse range of protein families.

机译：对蛋白质序列进行分类在疾病诊断，治疗开发和药物设计等领域具有重要的应用。在本文中，我们提出了一种称为g-MARS（带有支持向量机的带间隙马尔可夫链）的高精度分类器。它通过测量氨基酸对之间的转移概率来模拟蛋白质序列的结构。这将为每个蛋白质序列建立马尔可夫链样式模型。然后，要捕获非完全匹配的蛋白质序列之间的相似性，我们表明可以推广该模型以在Markov链中纳入缺口。我们进行了全面的实验研究，并将g-MARS与其他几种最先进的蛋白质分类器进行了比较。总体而言，我们证明了g-MARS具有卓越的准确性，并且可以在多种蛋白质家族中高效运行。

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《Pattern Recognition in Bioinformatics》|2008年|165-177|共13页
会议地点 Melbourne(AU);Melbourne(AU)
作者
Xiaonan Ji; James Bailey; Kotagiri Ramamohanarao;
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作者单位

NICTA Victoria Laboratory Department of Computer Science and Software Engineering University of Melbourne, Australia;

NICTA Victoria Laboratory Department of Computer Science and Software Engineering University of Melbourne, Australia;

NICTA Victoria Laboratory Department of Computer Science and Software Engineering University of Melbourne, Australia;

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原文格式 PDF
正文语种 eng
中图分类生物工程学（生物技术）;
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入库时间 2022-08-26 13:51:20

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6. Prediction of protein binding sites in protein structures using hidden Markov support vector machine [O] . Bin Liu, Xiaolong Wang, Lei Lin, 2009

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7. g-MARS:Protein Classification using Gapped Markov Chains and Support Vector Machines [O] . Xiaonan Ji, James Bailey, Kotagiri Ramamohanarao 2009

机译：g-MARS：使用带间隙马尔可夫链和支持向量机的蛋白质分类

g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines

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