Cargando…
Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models
HIV-1 integrase (IN) is an important target in the development of drugs against the AIDS virus. Drug design based on the structure of IN was markedly hampered due to the lack of three-dimensional structure information of HIV-1 IN-viral DNA complex. The prototype foamy virus (PFV) IN has a highly fun...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554684/ https://www.ncbi.nlm.nih.gov/pubmed/23365687 http://dx.doi.org/10.1371/journal.pone.0054929 |
_version_ | 1782256952448909312 |
---|---|
author | Hu, Jianping Liu, Ming Tang, Dianyong Chang, Shan |
author_facet | Hu, Jianping Liu, Ming Tang, Dianyong Chang, Shan |
author_sort | Hu, Jianping |
collection | PubMed |
description | HIV-1 integrase (IN) is an important target in the development of drugs against the AIDS virus. Drug design based on the structure of IN was markedly hampered due to the lack of three-dimensional structure information of HIV-1 IN-viral DNA complex. The prototype foamy virus (PFV) IN has a highly functional and structural homology with HIV-1 IN. Recently, the X-ray crystal complex structure of PFV IN with its cognate viral DNA has been obtained. In this study, both Gaussian network model (GNM) and anisotropy network model (ANM) have been applied to comparatively investigate the motion modes of PFV DNA-free and DNA-bound IN. The results show that the motion mode of PFV IN has only a slight change after binding with DNA. The motion of this enzyme is in favor of association with DNA, and the binding ability is determined by its intrinsic structural topology. Molecular docking experiments were performed to gain the binding modes of a series of diketo acid (DKA) inhibitors with PFV IN obtained from ANM, from which the dependability of PFV IN-DNA used in the drug screen for strand transfer (ST) inhibitors was confirmed. It is also found that the functional groups of keto-enol, bis-diketo, tetrazole and azido play a key role in aiding the recognition of viral DNA, and thus finally increase the inhibition capability for the corresponding DKA inhibitor. Our study provides some theoretical information and helps to design anti-AIDS drug based on the structure of IN. |
format | Online Article Text |
id | pubmed-3554684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35546842013-01-30 Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models Hu, Jianping Liu, Ming Tang, Dianyong Chang, Shan PLoS One Research Article HIV-1 integrase (IN) is an important target in the development of drugs against the AIDS virus. Drug design based on the structure of IN was markedly hampered due to the lack of three-dimensional structure information of HIV-1 IN-viral DNA complex. The prototype foamy virus (PFV) IN has a highly functional and structural homology with HIV-1 IN. Recently, the X-ray crystal complex structure of PFV IN with its cognate viral DNA has been obtained. In this study, both Gaussian network model (GNM) and anisotropy network model (ANM) have been applied to comparatively investigate the motion modes of PFV DNA-free and DNA-bound IN. The results show that the motion mode of PFV IN has only a slight change after binding with DNA. The motion of this enzyme is in favor of association with DNA, and the binding ability is determined by its intrinsic structural topology. Molecular docking experiments were performed to gain the binding modes of a series of diketo acid (DKA) inhibitors with PFV IN obtained from ANM, from which the dependability of PFV IN-DNA used in the drug screen for strand transfer (ST) inhibitors was confirmed. It is also found that the functional groups of keto-enol, bis-diketo, tetrazole and azido play a key role in aiding the recognition of viral DNA, and thus finally increase the inhibition capability for the corresponding DKA inhibitor. Our study provides some theoretical information and helps to design anti-AIDS drug based on the structure of IN. Public Library of Science 2013-01-24 /pmc/articles/PMC3554684/ /pubmed/23365687 http://dx.doi.org/10.1371/journal.pone.0054929 Text en © 2013 Hu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hu, Jianping Liu, Ming Tang, Dianyong Chang, Shan Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models |
title | Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models |
title_full | Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models |
title_fullStr | Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models |
title_full_unstemmed | Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models |
title_short | Substrate Recognition and Motion Mode Analyses of PFV Integrase in Complex with Viral DNA via Coarse-Grained Models |
title_sort | substrate recognition and motion mode analyses of pfv integrase in complex with viral dna via coarse-grained models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554684/ https://www.ncbi.nlm.nih.gov/pubmed/23365687 http://dx.doi.org/10.1371/journal.pone.0054929 |
work_keys_str_mv | AT hujianping substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels AT liuming substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels AT tangdianyong substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels AT changshan substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels |