Protein-protein interactions are of great significance for human to understand the functional mechanisms of proteins. With the rapid development of high-throughput genomic technologies, massive protein-protein interaction (PPI) data have been generated, making it very difficult to analyze them efficiently. To address this problem, this paper presents a distributed framework by reimplementing one of state-of-the-art algorithms, i.e., CoFex, using MapReduce. To do so, an in-depth analysis of its limitations is conducted from the perspectives of efficiency and memory consumption when applying it for large-scale PPI data analysis and prediction. Respective solutions are then devised to overcome these limitations. In particular, we adopt a novel tree-based data structure to reduce the heavy memory consumption caused by the huge sequence informationof proteins. After that, its procedure is modified by following the MapReduce framework to take the prediction task distributively. A series of extensive experiments have been conducted to evaluate the performance of our framework in terms of both efficiency and accuracy. Experimental results well demonstrate that the proposed framework can considerably improve its computational efficiency by more than two orders of magnitude while retaining the same high accuracy.

Lun Hu

School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808,China;Xinjiang Technical Institute of Physics and Chemistry,Chinese Academy of Sciences, Urumqi 830000, China;School of Computer Science and Technology,Wuhan University of Technology, Wuhan 430070, China;Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China;Center of Research Excellence in Renewable Energy and Power Systems, and the Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA

自动化学报（英文版）

[1]Lun Hu-.A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce)[J].自动化学报（英文版）,2022(01):160-172

reimplementing,CoFex,Respective,informationof

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