Using the local symmetry in amino acids sequences of polypeptides to improve the predictive potential of models of their inhibitor activity

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Alla P. Toropova, Andrey A. Toropov
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引用次数: 0

Abstract

The minimal inhibitory concentrations (pMIC) are a valuable measure of the biological activity of polypeptides. Numerical data on the pMIC are necessary to systematize knowledge on polypeptides’ biochemical behaviour. The model of negative decimal logarithm of pMIC of polypeptides in the form of a mathematical function of a sequence of amino acids is suggested. The suggested model is based on the so-called correlation weights of amino acids together with the correlation weights of fragments of local symmetry (FLS). Three kinds of the FLS are considered: (i) three-symbol fragments ‘…xyx…’, (ii) four-symbol fragments ‘…xyyx…’, and (iii) five-symbol fragments ‘…xyzyx…’. The models built using the Monte Carlo technique improved by applying the index of ideality of correlation (IIC) and correlation intensity index (CII).

Abstract Image

利用多肽氨基酸序列的局部对称性提高多肽抑制剂活性模型的预测潜力。
最小抑制浓度(pMIC)是衡量多肽生物活性的重要指标。pMIC的数值数据是系统化多肽生化行为知识所必需的。提出了以氨基酸序列的数学函数形式表示多肽pMIC的负十进制对数模型。该模型基于氨基酸的相关权值和局部对称片段的相关权值。FLS有三种类型:(i)三符号片段“…xyx…”,(ii)四符号片段“…xyyx…”,(iii)五符号片段“…xyzyx…”。通过引入相关理想度指数(IIC)和相关强度指数(CII)对蒙特卡罗技术建立的模型进行了改进。
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来源期刊
Amino Acids
Amino Acids 生物-生化与分子生物学
CiteScore
6.40
自引率
5.70%
发文量
99
审稿时长
2.2 months
期刊介绍: Amino Acids publishes contributions from all fields of amino acid and protein research: analysis, separation, synthesis, biosynthesis, cross linking amino acids, racemization/enantiomers, modification of amino acids as phosphorylation, methylation, acetylation, glycosylation and nonenzymatic glycosylation, new roles for amino acids in physiology and pathophysiology, biology, amino acid analogues and derivatives, polyamines, radiated amino acids, peptides, stable isotopes and isotopes of amino acids. Applications in medicine, food chemistry, nutrition, gastroenterology, nephrology, neurochemistry, pharmacology, excitatory amino acids are just some of the topics covered. Fields of interest include: Biochemistry, food chemistry, nutrition, neurology, psychiatry, pharmacology, nephrology, gastroenterology, microbiology
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