Protein interaction inference using particle swarm optimization algorithm

Iqbal, M. and Freitas, A.A. and Johnson, Colin G. (2008) Protein interaction inference using particle swarm optimization algorithm. In: 6th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, March 26th - 28th 2008, Naples, Italy. (The full text of this publication is not available from this repository)

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Abstract

Many processes in the cell involve interaction among the proteins and determination of the networks of such interactions is of immense importance towards the complete understanding of cellular functions. As the experimental techniques for this purpose are expensive and potentially erroneous, there are many computational methods being put forward for prediction of protein-protein interactions. These methods use different genomic features for indirect inference of protein- protein interactions. As the interaction among two proteins is facilitated by domains, there are many methods being put forward for inference of such interactions using the specificity of assignment of domains to proteins. We present here an heuristic optimization method, particle swarm optimization, which predicts protein-protein interaction by using the domain assignments information. Results are compared with another known method which predicts domain interactions by casting the problem of interactions inference as a maximum satisfiability (MAX-SAT) problem.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Jane Griffiths
Date Deposited: 21 Apr 2009 13:14
Last Modified: 17 Jul 2012 14:36
Resource URI: http://kar.kent.ac.uk/id/eprint/15710 (The current URI for this page, for reference purposes)
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