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Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery

Virtual screening has been widely used in the drug discovery process. Ligand-based virtual screening (LBVS) methods compare a library of compounds with a known active ligand. Two notable advantages of LBVS methods are that they do not require structural information of a target receptor and that they...

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Autores principales: Shin, Woong-Hee, Zhu, Xiaolei, Bures, Mark Gregory, Kihara, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005041/
https://www.ncbi.nlm.nih.gov/pubmed/26193243
http://dx.doi.org/10.3390/molecules200712841
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author Shin, Woong-Hee
Zhu, Xiaolei
Bures, Mark Gregory
Kihara, Daisuke
author_facet Shin, Woong-Hee
Zhu, Xiaolei
Bures, Mark Gregory
Kihara, Daisuke
author_sort Shin, Woong-Hee
collection PubMed
description Virtual screening has been widely used in the drug discovery process. Ligand-based virtual screening (LBVS) methods compare a library of compounds with a known active ligand. Two notable advantages of LBVS methods are that they do not require structural information of a target receptor and that they are faster than structure-based methods. LBVS methods can be classified based on the complexity of ligand structure information utilized: one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D). Unlike 1D and 2D methods, 3D methods can have enhanced performance since they treat the conformational flexibility of compounds. In this paper, a number of 3D methods will be reviewed. In addition, four representative 3D methods were benchmarked to understand their performance in virtual screening. Specifically, we tested overall performance in key aspects including the ability to find dissimilar active compounds, and computational speed.
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spelling pubmed-50050412016-08-30 Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery Shin, Woong-Hee Zhu, Xiaolei Bures, Mark Gregory Kihara, Daisuke Molecules Article Virtual screening has been widely used in the drug discovery process. Ligand-based virtual screening (LBVS) methods compare a library of compounds with a known active ligand. Two notable advantages of LBVS methods are that they do not require structural information of a target receptor and that they are faster than structure-based methods. LBVS methods can be classified based on the complexity of ligand structure information utilized: one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D). Unlike 1D and 2D methods, 3D methods can have enhanced performance since they treat the conformational flexibility of compounds. In this paper, a number of 3D methods will be reviewed. In addition, four representative 3D methods were benchmarked to understand their performance in virtual screening. Specifically, we tested overall performance in key aspects including the ability to find dissimilar active compounds, and computational speed. MDPI 2015-07-16 /pmc/articles/PMC5005041/ /pubmed/26193243 http://dx.doi.org/10.3390/molecules200712841 Text en © 2015 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shin, Woong-Hee
Zhu, Xiaolei
Bures, Mark Gregory
Kihara, Daisuke
Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery
title Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery
title_full Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery
title_fullStr Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery
title_full_unstemmed Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery
title_short Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery
title_sort three-dimensional compound comparison methods and their application in drug discovery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005041/
https://www.ncbi.nlm.nih.gov/pubmed/26193243
http://dx.doi.org/10.3390/molecules200712841
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