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Authors
Affiliations
1 Computer Science Department, Assiut University, EG
2 Quality Assurance Unit, Computer Science Department, Assiut University, EG
Source
Biometrics and Bioinformatics, Vol 4, No 10 (2012), Pagination: 459-465
Abstract
The prediction of a protein’s structure from its amino acid sequence is one of the most important problems in computational biology. In this work we present an improved version of Ant Colony Optimization (ACO) algorithm with diversified solutions based on the Immune Strategy (IS) called (ACIS). It is shown experimentally that the algorithm achieves on nearly all test sequences comparable results to other state of the art algorithms.
Keywords
Ant Colony Optimization, Immune System, Genetic Algorithm, Protein Structure Prediction.