Comparison among Feature Encoding Techniques for HIV-1 Protease Cleavage Specificity

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 402
  • Downloads 23

How To Cite

Uğur Turhal, Murat Gök*, Aykut Durgut (2015). Comparison among Feature Encoding Techniques for HIV-1 Protease Cleavage Specificity. International Journal of Intelligent Systems and Applications in Engineering, 3(2), 62-66. https://europub.co.uk/articles/-A-771