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

Murat GÖK; Uğur TURHAL; Aykut DURGUT

doi:https://doi.org/10.18201/ijisae.21005

Makale detayları

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

Yazarlar:

Murat GÖK | Uğur TURHAL | Aykut DURGUT

Yayıncı:

İsmail SARITAŞ

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 2, pp.62-66

Belge Tipi:

Makale

Yayın Tarihi:

3/2015

Belge Dili:

İngilizce

Document ID (Org No.):

2000817611

Sıklık:

Üç Aylık

eISSN:

2147-6799

DOI:

https://doi.org/10.18201/ijisae.21005

Özet:

 

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. Here, we have made an extensive study on feature encoding techniques for the problem of HIV-1 protease specificity on diverse machine learning algorithms. Also, for the first time, we applied OEDICHO technique, which is a combination of orthonormal encoding and the binary representation of selected 10 best physicochemical properties of amino acids derived from Amino Acid index database, to predict HIV-1 protease cleavage sites.

Makale detayları

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

Yazarlar: Murat GÖK | Uğur TURHAL | Aykut DURGUT

Yayıncı: İsmail SARITAŞ

Dergi: International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 2, pp.62-66

Belge Tipi: Makale

Yayın Tarihi: 3/2015

Belge Dili: İngilizce

Document ID (Org No.): 2000817611

Sıklık: Üç Aylık

eISSN: 2147-6799

DOI: https://doi.org/10.18201/ijisae.21005

Sayı

Yazarlar:

Murat GÖK | Uğur TURHAL | Aykut DURGUT

Yayıncı:

İsmail SARITAŞ

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 2, pp.62-66

Belge Tipi:

Makale

Yayın Tarihi:

3/2015

Belge Dili:

İngilizce

Document ID (Org No.):

2000817611

Sıklık:

Üç Aylık

eISSN:

2147-6799

DOI:

https://doi.org/10.18201/ijisae.21005