基于衰减系数建立动态蛋白质网络模型进行关键蛋白质预测

doi:10.11896/JsJkx.190800071

计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 29-33.doi: 10.11896/JsJkx.190800071

基于衰减系数建立动态蛋白质网络模型进行关键蛋白质预测

戴彩艳, 何菊, 胡孔法, 丁有伟, 李新霞

南京中医药大学人工智能与信息技术学院南京 210000

发布日期:2020-07-07
通讯作者: 戴彩艳(nJucmdai@163.com)
基金资助:
国家自然科学基金青年科学基金(61906100);江苏省青年基金(BK20180822);江苏省高等学校自然科学研究面上项目(18KJB520040)

Establishment of Dynamic Protein Network Model Based on Attenuation Coefficient for Key Protein Prediction

DAI Cai-yan, HE Ju, HU Kong-fa, DING You-wei and LI Xin-xia

College of Artificial Intelligence and Information Technology,NanJing University of Chinese Medicine,NanJing 210000,China

Published:2020-07-07
About author:DAI Cai-yan, born in 1985, doctor, lecturer．Her main research interests include bioinformatics and network link prediction
Supported by:
This work was supported by the Young Scientists Fund of the National Natural Science Foundation of China (61906100),Jiangsu Province ScienceFoundation for Youths (BK20180822) and Natural Science Research ProJects in Jiangsu Higher Education Institution(18KJB520040).

摘要/Abstract

摘要： 在生物系统的转变过程中,蛋白质的演化过程并非一成不变,而是动态变化的。通过构造模型的方法来研究蛋白质相互作用网络,可以较好地刻画蛋白质相互作用的演化机制。但是,利用构造模型的方法来研究动态蛋白质相互作用时,应该考虑在蛋白质演化过程中,历史蛋白质随着时间推移对整个演化过程产生作用可能产生的衰减,而不是将不同时刻的蛋白质的作用视为等同或者直接忽略。针对上述情况,提出一种基于衰减系数建立动态蛋白质网络模型的方法。该方法在建立模型的时候采用合理的衰减系数将蛋白质作用的变化情况记录下来,以便于之后研究的开展。通过实验,取合理的衰减系数后,使用相同算法在不同网络模型上运行,结果验证了所提算法的有效性。

关键词: 蛋白质相互作用网络, 动态蛋白质网络, 衰减系数

Abstract: In the transformation process of biological system,the evolution of protein is not static,but dynamic.The evolutionary mechanism of protein interaction can be well described by constructing a model to study protein interaction network.However,when we study protein-protein interaction by using the method of structural model,we should consider the attenuation of historicprotein interaction over time in the process of protein evolution,rather than regard the effect of proteins at different times as the same or directly ignore them.In this paper,a method of building dynamic protein network model based on attenuation coefficient was proposed.When establishing the model,a reasonable attenuation coefficient is used to record the changes of protein interaction,which is convenient for later researches.After taking reasonable attenuation coefficient through experiments,using the same algorithm to run on different network models,the results verify the effectiveness of the proposed algorithm.

Key words: Attenuation coefficient, Dynamic protein network, Protein interaction network

中图分类号:

TP391

戴彩艳, 何菊, 胡孔法, 丁有伟, 李新霞. 基于衰减系数建立动态蛋白质网络模型进行关键蛋白质预测[J]. 计算机科学, 2020, 47(6A): 29-33. https://doi.org/10.11896/JsJkx.190800071

DAI Cai-yan, HE Ju, HU Kong-fa, DING You-wei and LI Xin-xia. Establishment of Dynamic Protein Network Model Based on Attenuation Coefficient for Key Protein Prediction[J]. Computer Science, 2020, 47(6A): 29-33. https://doi.org/10.11896/JsJkx.190800071

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基于衰减系数建立动态蛋白质网络模型进行关键蛋白质预测

Establishment of Dynamic Protein Network Model Based on Attenuation Coefficient for Key Protein Prediction

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