Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers

Abstract Human immunodeficiency virus (HIV) is the retroviral agent that causes acquired immune deficiency syndrome (AIDS). The number of HIV caused deaths was about 4 million in 2016 alone; it was estimated that about 33 million to 46 million people worldwide living with HIV. The HIV disease is esp...

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Autores principales:	Juan Mei, Ji Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/20b68f3453724e19b4032a81806f7cd5
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spelling	oai:doaj.org-article:20b68f3453724e19b4032a81806f7cd52021-12-02T15:08:41ZPrediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers10.1038/s41598-018-20819-x2045-2322https://doaj.org/article/20b68f3453724e19b4032a81806f7cd52018-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-20819-xhttps://doaj.org/toc/2045-2322Abstract Human immunodeficiency virus (HIV) is the retroviral agent that causes acquired immune deficiency syndrome (AIDS). The number of HIV caused deaths was about 4 million in 2016 alone; it was estimated that about 33 million to 46 million people worldwide living with HIV. The HIV disease is especially harmful because the progressive destruction of the immune system prevents the ability of forming specific antibodies and to maintain an efficacious killer T cell activity. Successful prediction of HIV protein has important significance for the biological and pharmacological functions. In this study, based on the concept of Chou’s pseudo amino acid (PseAA) composition and increment of diversity (ID), support vector machine (SVM), logisitic regression (LR), and multilayer perceptron (MP) were presented to predict HIV-1 proteins and HIV-2 proteins. The results of the jackknife test indicated that the highest prediction accuracy and CC values were obtained by the SVM and MP were 0.9909 and 0.9763, respectively, indicating that the classifiers presented in this study were suitable for predicting two groups of HIV proteins.Juan MeiJi ZhaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Juan Mei Ji Zhao Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers
description	Abstract Human immunodeficiency virus (HIV) is the retroviral agent that causes acquired immune deficiency syndrome (AIDS). The number of HIV caused deaths was about 4 million in 2016 alone; it was estimated that about 33 million to 46 million people worldwide living with HIV. The HIV disease is especially harmful because the progressive destruction of the immune system prevents the ability of forming specific antibodies and to maintain an efficacious killer T cell activity. Successful prediction of HIV protein has important significance for the biological and pharmacological functions. In this study, based on the concept of Chou’s pseudo amino acid (PseAA) composition and increment of diversity (ID), support vector machine (SVM), logisitic regression (LR), and multilayer perceptron (MP) were presented to predict HIV-1 proteins and HIV-2 proteins. The results of the jackknife test indicated that the highest prediction accuracy and CC values were obtained by the SVM and MP were 0.9909 and 0.9763, respectively, indicating that the classifiers presented in this study were suitable for predicting two groups of HIV proteins.
format	article
author	Juan Mei Ji Zhao
author_facet	Juan Mei Ji Zhao
author_sort	Juan Mei
title	Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers
title_short	Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers
title_full	Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers
title_fullStr	Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers
title_full_unstemmed	Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers
title_sort	prediction of hiv-1 and hiv-2 proteins by using chou’s pseudo amino acid compositions and different classifiers
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/20b68f3453724e19b4032a81806f7cd5
work_keys_str_mv	AT juanmei predictionofhiv1andhiv2proteinsbyusingchouspseudoaminoacidcompositionsanddifferentclassifiers AT jizhao predictionofhiv1andhiv2proteinsbyusingchouspseudoaminoacidcompositionsanddifferentclassifiers
_version_	1718388047366586368

Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers

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