Comparison among Feature Encoding Techniques for HIV-1 Protease Cleavage Specificity
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 2
Abstract
HIV-1 protease which is responsible for the generation of infectious viral particles by cleaving the virus polypeptides, play an indispensable role in the life cycle of HIV-1. Knowledge of the substrate specificity of HIV-1 protease will pave the way of development of efficacious HIV-1 protease inhibitors. In the prediction of HIV-1 protease cleavage site techniques, many efforts have been devoted. Last decade, several works have approached the prediction of HIV-1 protease cleavage site problem by applying a number of methods from the field of machine learning. However, it is still difficult for researchers to choose the best method due to the lack of an effective and up-to-date comparison.
Authors and Affiliations
Uğur Turhal| University of Balıkesir – 10100, Turkey, Murat Gök*| University of Yalova – 77100, Turkey, Aykut Durgut| University of Balıkesir – 10100, Turkey
Keywords
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- EP ID EP771
- DOI 10.18201/ijisae.21005
- Views 401
- Downloads 23
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