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In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities
To improve the quality control of drugs, we predicted the absorption, distribution, metabolism, excretion, and toxicity (ADMET) of ceftazidime (CAZ) and its impurities via in silico methods. We used three types of quantitative structure-activity relationship and docking software for precise predicti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491819/ https://www.ncbi.nlm.nih.gov/pubmed/31068821 http://dx.doi.org/10.3389/fphar.2019.00434 |
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author | Han, Ying Zhang, Jingpu Hu, Chang Qin Zhang, Xia Ma, Bufang Zhang, Peipei |
author_facet | Han, Ying Zhang, Jingpu Hu, Chang Qin Zhang, Xia Ma, Bufang Zhang, Peipei |
author_sort | Han, Ying |
collection | PubMed |
description | To improve the quality control of drugs, we predicted the absorption, distribution, metabolism, excretion, and toxicity (ADMET) of ceftazidime (CAZ) and its impurities via in silico methods. We used three types of quantitative structure-activity relationship and docking software for precise prediction: Discovery Studio 4.0, OECD QSAR Toolbox 4.1, Toxtree, and the pkCSM approach. The pharmacokinetics and toxicity of ceftazidime and impurity A (Δ-2-CAZ) are similar. The biological properties of impurity B (CAZ E-isomer) are different from CAZ. Therefore, we focused on drug stability to analyze impurity B. Impurities D and I have strong lipophilicity, good intestinal absorption, and poor excretion in the body. Impurity D is particularly neurotoxic and genotoxic. It is important to control the content of impurity D. The toxicity of impurity F is low, but the toxicity is enhanced when it becomes the C-3 side chain of CAZ and forms a quaternary amine group. We conclude that the beta-lactam ring of nucleus, the quaternary amine group at the C-3 side chain, and the acetates at the C-7 side chain of CAZ are the main toxic functional groups. Impurities B and D may be the genetic impurity in CAZ and may also have neurotoxicity. This in silico approach can predict the toxicity of other cephalosporins and impurities. |
format | Online Article Text |
id | pubmed-6491819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64918192019-05-08 In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities Han, Ying Zhang, Jingpu Hu, Chang Qin Zhang, Xia Ma, Bufang Zhang, Peipei Front Pharmacol Pharmacology To improve the quality control of drugs, we predicted the absorption, distribution, metabolism, excretion, and toxicity (ADMET) of ceftazidime (CAZ) and its impurities via in silico methods. We used three types of quantitative structure-activity relationship and docking software for precise prediction: Discovery Studio 4.0, OECD QSAR Toolbox 4.1, Toxtree, and the pkCSM approach. The pharmacokinetics and toxicity of ceftazidime and impurity A (Δ-2-CAZ) are similar. The biological properties of impurity B (CAZ E-isomer) are different from CAZ. Therefore, we focused on drug stability to analyze impurity B. Impurities D and I have strong lipophilicity, good intestinal absorption, and poor excretion in the body. Impurity D is particularly neurotoxic and genotoxic. It is important to control the content of impurity D. The toxicity of impurity F is low, but the toxicity is enhanced when it becomes the C-3 side chain of CAZ and forms a quaternary amine group. We conclude that the beta-lactam ring of nucleus, the quaternary amine group at the C-3 side chain, and the acetates at the C-7 side chain of CAZ are the main toxic functional groups. Impurities B and D may be the genetic impurity in CAZ and may also have neurotoxicity. This in silico approach can predict the toxicity of other cephalosporins and impurities. Frontiers Media S.A. 2019-04-24 /pmc/articles/PMC6491819/ /pubmed/31068821 http://dx.doi.org/10.3389/fphar.2019.00434 Text en Copyright © 2019 Han, Zhang, Hu, Zhang, Ma and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Han, Ying Zhang, Jingpu Hu, Chang Qin Zhang, Xia Ma, Bufang Zhang, Peipei In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities |
title | In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities |
title_full | In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities |
title_fullStr | In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities |
title_full_unstemmed | In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities |
title_short | In silico ADME and Toxicity Prediction of Ceftazidime and Its Impurities |
title_sort | in silico adme and toxicity prediction of ceftazidime and its impurities |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491819/ https://www.ncbi.nlm.nih.gov/pubmed/31068821 http://dx.doi.org/10.3389/fphar.2019.00434 |
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