Abstract
With the significant increase of life expectancy of populations in societies today, the importance of the discovery of drugs associated with neurodegenerative diseases has emerged. Therefore, neurodegenerative diseases are an important topic in Medicinal Chemistry. Although drug discovery is considered a complex and slow process, new approaches and methods have been developed with the intention of finding new chemical entities in more efficient ways. This work provides a review of virtual methodologies applied in drug discovery and especially a new model for the prediction of MAO-A inhibitors using a multi-target QSAR methodology. This model involves a mixed approach containing simple descriptors based on atom-centered fragments and functional groups (DRAGON) and topological substructural molecular design descriptors (MODESLAB). This unified multi-species QSAR model was validated through a virtual screening of a new series of oxoisoaporphine derivatives, taking into account the information in the calculated fragmental contributions. Therefore, this method represents a useful tool for the in silico screening of MAO-A inhibitors.
Keywords: Neurodegenerative diseases, Monoamine oxidase, MAO-A inhibitors, QSAR, Multi-target model, Drug design.
Mini-Reviews in Medicinal Chemistry
Title:Monoamino Oxidase A: An Interesting Pharmacological Target for the Development of Multi-Target QSAR
Volume: 12 Issue: 10
Author(s): Enrique Molina, Eduardo Sobarzo-Sanchez, Alejandro Speck-Planche, Maria Joao Matos, Eugenio Uriarte, Lourdes Santana, Matilde Yanez and Francisco Orallo
Affiliation:
Keywords: Neurodegenerative diseases, Monoamine oxidase, MAO-A inhibitors, QSAR, Multi-target model, Drug design.
Abstract: With the significant increase of life expectancy of populations in societies today, the importance of the discovery of drugs associated with neurodegenerative diseases has emerged. Therefore, neurodegenerative diseases are an important topic in Medicinal Chemistry. Although drug discovery is considered a complex and slow process, new approaches and methods have been developed with the intention of finding new chemical entities in more efficient ways. This work provides a review of virtual methodologies applied in drug discovery and especially a new model for the prediction of MAO-A inhibitors using a multi-target QSAR methodology. This model involves a mixed approach containing simple descriptors based on atom-centered fragments and functional groups (DRAGON) and topological substructural molecular design descriptors (MODESLAB). This unified multi-species QSAR model was validated through a virtual screening of a new series of oxoisoaporphine derivatives, taking into account the information in the calculated fragmental contributions. Therefore, this method represents a useful tool for the in silico screening of MAO-A inhibitors.
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Molina Enrique, Sobarzo-Sanchez Eduardo, Speck-Planche Alejandro, Matos Joao Maria, Uriarte Eugenio, Santana Lourdes, Yanez Matilde and Orallo Francisco, Monoamino Oxidase A: An Interesting Pharmacological Target for the Development of Multi-Target QSAR, Mini-Reviews in Medicinal Chemistry 2012; 12 (10) . https://dx.doi.org/10.2174/138955712802762383
DOI https://dx.doi.org/10.2174/138955712802762383 |
Print ISSN 1389-5575 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5607 |
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