Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates

Breast Cancer Resistance Protein (BCRP or ABCG2) is a polyspecific efflux-transporter which belongs to the ATP-binding Cassette superfamily. Up-regulation of BCRP is associated to multi-drug resistance in a number of conditions, e.g. cancer and epilepsy. Recent proteomic studies show that high-expre...

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Detalles Bibliográficos
Autores principales:	Gantner, Melisa Edith, Alberca, Lucas Nicolás, Mercader, Andrew Gustavo, Bruno Blanch, Luis Enrique, Talevi, Alan
Formato:	Articulo Preprint
Lenguaje:	Inglés
Publicado:	2017
Materias:	Química Breast Cancer Resistance Protein ABC Transporters ABCG2 Enhanced Replacement Method Ensemble Learning Linear Classifiers
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/118321
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-118321
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Química Breast Cancer Resistance Protein ABC Transporters ABCG2 Enhanced Replacement Method Ensemble Learning Linear Classifiers
spellingShingle	Química Breast Cancer Resistance Protein ABC Transporters ABCG2 Enhanced Replacement Method Ensemble Learning Linear Classifiers Gantner, Melisa Edith Alberca, Lucas Nicolás Mercader, Andrew Gustavo Bruno Blanch, Luis Enrique Talevi, Alan Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates
topic_facet	Química Breast Cancer Resistance Protein ABC Transporters ABCG2 Enhanced Replacement Method Ensemble Learning Linear Classifiers
description	Breast Cancer Resistance Protein (BCRP or ABCG2) is a polyspecific efflux-transporter which belongs to the ATP-binding Cassette superfamily. Up-regulation of BCRP is associated to multi-drug resistance in a number of conditions, e.g. cancer and epilepsy. Recent proteomic studies show that high-expression levels of BCRP are found in healthy human intestine and at the blood-brain barrier, limiting the absorption and brain distribution of its substrates. Here, we have jointly applied the Enhanced Replacement Method and ensemble learning approaches to obtain combinations of 2D linear classifiers capable of discriminating among substrates and non-substrates of the wild type human BCRP. The best model ensemble obtained outperforms previously reported 2D linear classifiers, showing the ability of the Enhanced Replacement Method and ensemble learning schemes to optimize the performance of individual models. This is the first report of the Enhanced Replacement Method to solve classification problems.
format	Articulo Preprint
author	Gantner, Melisa Edith Alberca, Lucas Nicolás Mercader, Andrew Gustavo Bruno Blanch, Luis Enrique Talevi, Alan
author_facet	Gantner, Melisa Edith Alberca, Lucas Nicolás Mercader, Andrew Gustavo Bruno Blanch, Luis Enrique Talevi, Alan
author_sort	Gantner, Melisa Edith
title	Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates
title_short	Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates
title_full	Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates
title_fullStr	Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates
title_full_unstemmed	Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates
title_sort	integrated application of enhanced replacement method and ensemble learning for the prediction of bcrp/abcg2 substrates
publishDate	2017
url	http://sedici.unlp.edu.ar/handle/10915/118321
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bdutipo_str	Repositorios
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Integrated Application of Enhanced Replacement Method and Ensemble Learning for the Prediction of BCRP/ABCG2 Substrates

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