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本文引用的文献

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Some remarks on protein attribute prediction and pseudo amino acid composition.关于蛋白质属性预测和伪氨基酸组成的一些说明。
J Theor Biol. 2011 Mar 21;273(1):236-47. doi: 10.1016/j.jtbi.2010.12.024. Epub 2010 Dec 17.
2
GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis.GPCR-GIA:一个利用灰色关联分析识别 G 蛋白偶联受体及其家族的网络服务器。
Protein Eng Des Sel. 2009 Nov;22(11):699-705. doi: 10.1093/protein/gzp057. Epub 2009 Sep 22.
3
GPCR-CA: A cellular automaton image approach for predicting G-protein-coupled receptor functional classes.GPCR-CA:一种用于预测G蛋白偶联受体功能类别的细胞自动机图像方法。
J Comput Chem. 2009 Jul 15;30(9):1414-23. doi: 10.1002/jcc.21163.
4
Probing the interaction between the coiled coil leucine zipper of cGMP-dependent protein kinase Ialpha and the C terminus of the myosin binding subunit of the myosin light chain phosphatase.探究环磷酸鸟苷依赖性蛋白激酶Iα的卷曲螺旋亮氨酸拉链与肌球蛋白轻链磷酸酶的肌球蛋白结合亚基C末端之间的相互作用。
J Biol Chem. 2008 Nov 21;283(47):32860-9. doi: 10.1074/jbc.M804916200. Epub 2008 Sep 9.
5
Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image.用伪氨基酸组成预测蛋白质结构类别:一种使用细胞自动机图像几何矩的方法。
J Theor Biol. 2008 Oct 7;254(3):691-6. doi: 10.1016/j.jtbi.2008.06.016. Epub 2008 Jun 24.
6
Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes.利用灰色动态建模和伪氨基酸组成预测蛋白质结构类别。
J Comput Chem. 2008 Sep;29(12):2018-24. doi: 10.1002/jcc.20955.
7
MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM.MemType-2L:一个通过伪位置特异性得分矩阵整合进化信息来预测膜蛋白及其类型的网络服务器。
Biochem Biophys Res Commun. 2007 Aug 24;360(2):339-45. doi: 10.1016/j.bbrc.2007.06.027. Epub 2007 Jun 15.
8
A dynamic model for the p53 stress response networks under ion radiation.离子辐射下p53应激反应网络的动态模型
Amino Acids. 2007 Jul;33(1):75-83. doi: 10.1007/s00726-006-0454-3. Epub 2006 Oct 31.
9
Abundance of intrinsically unstructured proteins in P. falciparum and other apicomplexan parasite proteomes.恶性疟原虫及其他顶复门寄生虫蛋白质组中内在无序蛋白质的丰度。
Mol Biochem Parasitol. 2006 Dec;150(2):256-67. doi: 10.1016/j.molbiopara.2006.08.011. Epub 2006 Sep 20.
10
A set of glycosylphosphatidyl inositol-anchored membrane proteins of Plasmodium falciparum is refractory to genetic deletion.一组恶性疟原虫的糖基磷脂酰肌醇锚定膜蛋白难以通过基因敲除去除。
Infect Immun. 2006 Jul;74(7):4330-8. doi: 10.1128/IAI.00054-06.

基于伪氨基酸组成预测膜蛋白类型的密度相似性应用。

Application of density similarities to predict membrane protein types based on pseudo-amino acid composition.

机构信息

Department of Statistics, Faculty of Science, Shiraz University, Shiraz, Iran.

出版信息

J Theor Biol. 2011 May 7;276(1):132-7. doi: 10.1016/j.jtbi.2011.01.048. Epub 2011 Feb 4.

DOI:10.1016/j.jtbi.2011.01.048
PMID:21296088
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4536956/
Abstract

Cell membranes provide integrity of living cells. Although the stability of biological membrane is maintained by the lipid bilayer, membrane proteins perform most of the specific functions such as signal transduction, transmembrane transport, etc. Then it is plausible membrane proteins being attractive drug targets. In this article, based on the concept of using the pseudo-amino acid composition to define a protein, three different density similarities are developed for predicting the membrane protein type. The predicted results showed that the proposed approach can remarkably improve the accuracy, and might become a useful tool for predicting the other attributes of proteins as well.

摘要

细胞膜为活细胞提供了完整性。尽管生物膜的稳定性是由脂质双层维持的,但膜蛋白执行着大多数特定的功能,如信号转导、跨膜运输等。因此,膜蛋白成为有吸引力的药物靶点是合理的。在本文中,基于使用伪氨基酸组成来定义蛋白质的概念,开发了三种不同的密度相似度来预测膜蛋白类型。预测结果表明,所提出的方法可以显著提高准确性,并且可能成为预测蛋白质其他属性的有用工具。