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In silico work flow for scaffold hopping in Leishmania
BACKGROUND: Leishmaniasis,a broad spectrum of diseases caused by several sister species of protozoa belonging to family trypanosomatidae and genus leishmania , generally affects poorer sections of the populace in third world countries. With the emergence of strains resistant to traditional therapies...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4247209/ https://www.ncbi.nlm.nih.gov/pubmed/25399834 http://dx.doi.org/10.1186/1756-0500-7-802 |
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author | Waugh, Barnali Ghosh, Ambarnil Bhattacharyya, Dhananjay Ghoshal, Nanda Banerjee, Rahul |
author_facet | Waugh, Barnali Ghosh, Ambarnil Bhattacharyya, Dhananjay Ghoshal, Nanda Banerjee, Rahul |
author_sort | Waugh, Barnali |
collection | PubMed |
description | BACKGROUND: Leishmaniasis,a broad spectrum of diseases caused by several sister species of protozoa belonging to family trypanosomatidae and genus leishmania , generally affects poorer sections of the populace in third world countries. With the emergence of strains resistant to traditional therapies and the high cost of second line drugs which generally have severe side effects, it becomes imperative to continue the search for alternative drugs to combat the disease. In this work, the leishmanial genomes and the human genome have been compared to identify proteins unique to the parasite and whose structures (or those of close homologues) are available in the Protein Data Bank. Subsequent to the prioritization of these proteins (based on their essentiality, virulence factor etc.), inhibitors have been identified for a subset of these prospective drug targets by means of an exhaustive literature survey. A set of three dimensional protein-ligand complexes have been assembled from the list of leishmanial drug targets by culling structures from the Protein Data Bank or by means of template based homology modeling followed by ligand docking with the GOLD software. Based on these complexes several structure based pharmacophores have been designed and used to search for alternative inhibitors in the ZINC database. RESULT: This process led to a list of prospective compounds which could serve as potential antileishmanials. These small molecules were also used to search the Drug Bank to identify prospective lead compounds already in use as approved drugs. Interestingly, paromomycin which is currently being used as an antileishmanial drug spontaneously appeared in the list, probably giving added confidence to the ‘scaffold hopping’ computational procedures adopted in this work. CONCLUSIONS: The report thus provides the basis to experimentally verify several lead compounds for their predicted antileishmanial activity and includes several useful data bases of prospective drug targets in leishmania, their inhibitors and protein – inhibitor three dimensional complexes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-802) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4247209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42472092014-11-29 In silico work flow for scaffold hopping in Leishmania Waugh, Barnali Ghosh, Ambarnil Bhattacharyya, Dhananjay Ghoshal, Nanda Banerjee, Rahul BMC Res Notes Research Article BACKGROUND: Leishmaniasis,a broad spectrum of diseases caused by several sister species of protozoa belonging to family trypanosomatidae and genus leishmania , generally affects poorer sections of the populace in third world countries. With the emergence of strains resistant to traditional therapies and the high cost of second line drugs which generally have severe side effects, it becomes imperative to continue the search for alternative drugs to combat the disease. In this work, the leishmanial genomes and the human genome have been compared to identify proteins unique to the parasite and whose structures (or those of close homologues) are available in the Protein Data Bank. Subsequent to the prioritization of these proteins (based on their essentiality, virulence factor etc.), inhibitors have been identified for a subset of these prospective drug targets by means of an exhaustive literature survey. A set of three dimensional protein-ligand complexes have been assembled from the list of leishmanial drug targets by culling structures from the Protein Data Bank or by means of template based homology modeling followed by ligand docking with the GOLD software. Based on these complexes several structure based pharmacophores have been designed and used to search for alternative inhibitors in the ZINC database. RESULT: This process led to a list of prospective compounds which could serve as potential antileishmanials. These small molecules were also used to search the Drug Bank to identify prospective lead compounds already in use as approved drugs. Interestingly, paromomycin which is currently being used as an antileishmanial drug spontaneously appeared in the list, probably giving added confidence to the ‘scaffold hopping’ computational procedures adopted in this work. CONCLUSIONS: The report thus provides the basis to experimentally verify several lead compounds for their predicted antileishmanial activity and includes several useful data bases of prospective drug targets in leishmania, their inhibitors and protein – inhibitor three dimensional complexes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-802) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-17 /pmc/articles/PMC4247209/ /pubmed/25399834 http://dx.doi.org/10.1186/1756-0500-7-802 Text en © Waugh et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Waugh, Barnali Ghosh, Ambarnil Bhattacharyya, Dhananjay Ghoshal, Nanda Banerjee, Rahul In silico work flow for scaffold hopping in Leishmania |
title | In silico work flow for scaffold hopping in Leishmania |
title_full | In silico work flow for scaffold hopping in Leishmania |
title_fullStr | In silico work flow for scaffold hopping in Leishmania |
title_full_unstemmed | In silico work flow for scaffold hopping in Leishmania |
title_short | In silico work flow for scaffold hopping in Leishmania |
title_sort | in silico work flow for scaffold hopping in leishmania |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4247209/ https://www.ncbi.nlm.nih.gov/pubmed/25399834 http://dx.doi.org/10.1186/1756-0500-7-802 |
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