Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 29-33.doi: 10.11896/JsJkx.190800071

• Artificial Intelligence • Previous Articles     Next Articles

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   

  1. 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).

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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

CLC Number: 

  • TP391
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