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A System For Motif Search In Biological Networks

Published: 04 June 2018 Publication History

Abstract

In this work, we investigate an important problem from the biology field, which consists in searching for specific patterns, named motifs, in networks which represent certain biological interactions, such as metabolic networks, regulatory networks or Protein-Protein Interaction (PPI) networks. Two linear integer models are proposed, one of them using the concept of representatives. We present computational experiments made with instances generated from PPI networks with approximately 8.000 proteins and 29.000 interactions among them. As experimentally verified, the two proposed models were able to solve all instances in a very satisfactory amount of computational time.

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cover image ACM Other conferences
SBSI '18: Proceedings of the XIV Brazilian Symposium on Information Systems
June 2018
578 pages
ISBN:9781450365598
DOI:10.1145/3229345
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 June 2018

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Author Tags

  1. Integer Linear Programming
  2. Motifs

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SBSI'18
SBSI'18: XIV Brazilian Symposium on Information Systems
June 4 - 8, 2018
Caxias do Sul, Brazil

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Overall Acceptance Rate 181 of 557 submissions, 32%

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