Applications of fruit fly optimization algorithm for analyzing protein-protein interaction through Markov clustering on HIV virus

Alhadi B., I. Mujtahidah, Dian Lestari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Protein plays a vital role in the structure and function of all living cell and viruses. The protein will interact with each other and with other molecules which regulate metabolism, cellular process and system of the organism, so that the protein-protein interactions networks have a considerable size. To learn the network interaction is required clustering algorithm. One of the most commonly used clustering algorithms is the Markov clustering algorithm (MCL). But the clustering results depend on its inflate parameters inputted by the user. In this study, we combined Markov clustering algorithms with Fruit Fly Optimization Algorithm (FOA), called FOA-MCL, to obtain parameter values automatically. From the experimental result, we get nine clusters are formed by PPI network data of HIV.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
EditorsRatna Yuniati, Terry Mart, Ivandini T. Anggraningrum, Djoko Triyono, Kiki A. Sugeng
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735417410
DOIs
Publication statusPublished - 22 Oct 2018
Event3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017 - Bali, Indonesia
Duration: 26 Jul 201727 Jul 2017

Publication series

NameAIP Conference Proceedings
Volume2023
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
Country/TerritoryIndonesia
CityBali
Period26/07/1727/07/17

Keywords

  • FOA-MCL
  • HIV
  • MCL
  • Protein-Protein Interaction Network

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