The three dimensional structure of Aedes aegypti chorion peroxidase was computed by homology modeling. The ModWeb server provided the most accurate model with QMEAN score of 0.642. The protein model consists of 36.1% alpha-helices and 1% beta-strand. Ligand binding sites in Aedes aegypti chorion peroxidase were identified using SiteComp server. In silico docking of a subset of ZINC natural products database was focused on the predicted binding site. Three ligands were found to be potential inhibitors of Ae. aegypti chorion peroxidase.
| Published in | Computational Biology and Bioinformatics (Volume 2, Issue 3) |
| DOI | 10.11648/j.cbb.20140203.12 |
| Page(s) | 38-42 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Homology Modeling, Aedes Aegyti, Chorion Peroxidase, Binding Site, In Silico Screening
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APA Style
Edwin Plata Alcantara. (2014). In Silico Identification of Potential Inhibitors of Dengue Mosquito, Aedes Aegypti Chorion Peroxidase. Computational Biology and Bioinformatics, 2(3), 38-42. https://doi.org/10.11648/j.cbb.20140203.12
ACS Style
Edwin Plata Alcantara. In Silico Identification of Potential Inhibitors of Dengue Mosquito, Aedes Aegypti Chorion Peroxidase. Comput. Biol. Bioinform. 2014, 2(3), 38-42. doi: 10.11648/j.cbb.20140203.12
AMA Style
Edwin Plata Alcantara. In Silico Identification of Potential Inhibitors of Dengue Mosquito, Aedes Aegypti Chorion Peroxidase. Comput Biol Bioinform. 2014;2(3):38-42. doi: 10.11648/j.cbb.20140203.12
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Download@article{10.11648/j.cbb.20140203.12,
author = {Edwin Plata Alcantara},
title = {In Silico Identification of Potential Inhibitors of Dengue Mosquito, Aedes Aegypti Chorion Peroxidase},
journal = {Computational Biology and Bioinformatics},
volume = {2},
number = {3},
pages = {38-42},
doi = {10.11648/j.cbb.20140203.12},
url = {https://doi.org/10.11648/j.cbb.20140203.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20140203.12},
abstract = {The three dimensional structure of Aedes aegypti chorion peroxidase was computed by homology modeling. The ModWeb server provided the most accurate model with QMEAN score of 0.642. The protein model consists of 36.1% alpha-helices and 1% beta-strand. Ligand binding sites in Aedes aegypti chorion peroxidase were identified using SiteComp server. In silico docking of a subset of ZINC natural products database was focused on the predicted binding site. Three ligands were found to be potential inhibitors of Ae. aegypti chorion peroxidase.},
year = {2014}
}
TY - JOUR T1 - In Silico Identification of Potential Inhibitors of Dengue Mosquito, Aedes Aegypti Chorion Peroxidase AU - Edwin Plata Alcantara Y1 - 2014/06/20 PY - 2014 N1 - https://doi.org/10.11648/j.cbb.20140203.12 DO - 10.11648/j.cbb.20140203.12 T2 - Computational Biology and Bioinformatics JF - Computational Biology and Bioinformatics JO - Computational Biology and Bioinformatics SP - 38 EP - 42 PB - Science Publishing Group SN - 2330-8281 UR - https://doi.org/10.11648/j.cbb.20140203.12 AB - The three dimensional structure of Aedes aegypti chorion peroxidase was computed by homology modeling. The ModWeb server provided the most accurate model with QMEAN score of 0.642. The protein model consists of 36.1% alpha-helices and 1% beta-strand. Ligand binding sites in Aedes aegypti chorion peroxidase were identified using SiteComp server. In silico docking of a subset of ZINC natural products database was focused on the predicted binding site. Three ligands were found to be potential inhibitors of Ae. aegypti chorion peroxidase. VL - 2 IS - 3 ER -
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