The Miyazawa-Jernigan Contact Energies Revisited

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2012-01-24 DOI:10.2174/1875036201206010001
H. Zeng, Ke-Song Liu, Wei Zheng
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引用次数: 7

Abstract

The Miyazawa-Jernigan (MJ) contact potential for globular proteins is a widely used knowledge-based potential. It is well known that MJ's contact energies mainly come from one-body terms. Directly in the framework of the MJ energy for a protein, we derive the one-body term based on a probabilistic model, and compare the term with several hydrophobicity scales of amino acids. This derivation is based on a set of native structures, and the only information of structures manipulated in the analysis is the contact numbers of each residue. Contact numbers strongly correlate with layers of a protein when it is viewed as an ellipsoid. Using an entropic clustering approach, we obtain two coarse-grained states by maximizing the mutual information between coordination numbers and residue types, and find their differences in the two-body correction. A contact definition using sidechain centers roughly estimated from C atoms results in no significant changes.
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宫泽杰尼根接触能量重访
球状蛋白的宫泽杰尼根(Miyazawa-Jernigan, MJ)接触电位是一种广泛使用的基于知识的电位。众所周知,MJ的接触能主要来源于一体项。直接在蛋白质MJ能的框架下,我们基于概率模型推导出了单体项,并与氨基酸的几种疏水性尺度进行了比较。这种推导是基于一组固有结构,分析中操纵结构的唯一信息是每个残基的接触数。当把蛋白质看作椭球体时,接触数与蛋白质的层数密切相关。利用熵聚类方法,通过最大化配位数和残差类型之间的互信息,得到两种粗粒度状态,并找出它们在二体校正中的差异。使用从C原子粗略估计的侧链中心的接触定义不会产生显著的变化。
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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