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Prediction of Protein Function Using Ant Colony Sequence Alignment

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Abstract:

Prediction of protein function is the most challenging problem of the post-genomic era. For partially characterized proteins related to Alzheimer's disease, we propose a method for predicting their finer functions by aligning sequence based on ant colony clustering algorithm. The results show that the proposed approach is able to reliably find finer functions for the proteins related to Alzheimer's disease with high precision. The predicted finer functions are highly valuable for guiding lab research to study the molecular mechanism of Alzheimer's disease.

Keywords: ALIGNING SEQUENCE; ALZHEIMER'S DISEASE; PROTEIN FUNCTION; PROTEIN-PROTEIN INTERACTION NETWORK

Document Type: Research Article

DOI: https://doi.org/10.1166/jctn.2011.1937

Publication date: 2011-10-01

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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