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...
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oai:doaj.org-article:71eec6b5bbf44187b6634a46489104b82021-11-18T08:00:00ZSubstrate recognition and motion mode analyses of PFV integrase in complex with viral DNA via coarse-grained models.1932-620310.1371/journal.pone.0054929https://doaj.org/article/71eec6b5bbf44187b6634a46489104b82013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23365687/?tool=EBIhttps://doaj.org/toc/1932-6203HIV-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.Jianping HuMing LiuDianyong TangShan ChangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e54929 (2013) |
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Medicine R Science Q Jianping Hu Ming Liu Dianyong Tang Shan Chang Substrate recognition and motion mode analyses of PFV integrase in complex with viral DNA via coarse-grained models. |
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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 |
article |
author |
Jianping Hu Ming Liu Dianyong Tang Shan Chang |
author_facet |
Jianping Hu Ming Liu Dianyong Tang Shan Chang |
author_sort |
Jianping Hu |
title |
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_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_sort |
substrate recognition and motion mode analyses of pfv integrase in complex with viral dna via coarse-grained models. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/71eec6b5bbf44187b6634a46489104b8 |
work_keys_str_mv |
AT jianpinghu substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels AT mingliu substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels AT dianyongtang substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels AT shanchang substraterecognitionandmotionmodeanalysesofpfvintegraseincomplexwithviraldnaviacoarsegrainedmodels |
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1718422673080451072 |