Ant Colony Approach to Predict Amino Acid Interaction Networks

Authors :: Stefan Balev
Omar Gaci
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS)
Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie)
Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN)
Normandie Université (NU)-Université Le Havre Normandie (ULH)
Normandie Université (NU)
IEEE Computer Society
Gaci, Omar
Source :: Proceedings of NaBIC, World Congress on Nature & Biologically Inspired Computing, World Congress on Nature & Biologically Inspired Computing, Dec 2009, Coimbatore, India. pp.1725-1730, NaBIC
Publication Year :: 2009
Publisher :: HAL CCSD, 2009.
Abstract: International audience; In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. We consider the problem of reconstructing protein's interaction network from its amino acid sequence. An ant colony approach is used to solve this problem.

Language :: English
Database :: OpenAIRE
Journal :: Proceedings of NaBIC, World Congress on Nature & Biologically Inspired Computing, World Congress on Nature & Biologically Inspired Computing, Dec 2009, Coimbatore, India. pp.1725-1730, NaBIC
Accession number :: edsair.doi.dedup.....c81f6cc0a5a29c653ebf8131fed5ece5

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