Abstract
Tuberculosis caused by Mycobacterium tuberculosis is an infectious bacterial disease which is a leading cause of mortality affecting more than 9 million people worldwide. The current standard regimens that are available for the treatment of TB are severely hampered due to the occurrence of multidrug-resistant (MDR-TB) and extensively drug-resistant (XDR-TB) strains of Mycobacterium tuberculosis. In the past few years, a huge and constantly expanding effort has been developed to understand the chemical-biological interaction of many new anti-tubercular drugs and their targets in mathematical terms. Here, we have elected to review only those studies concerning 2D and 3D QSAR models that contain different DFT based descriptors as their parameters.
Keywords: Tuberculosis, 2D QSAR, 3D QSAR, DFT.
Current Pharmaceutical Design
Title:DFT Based QSAR/QSPR Models in the Development of Novel Anti-tuberculosis Drugs Targeting Mycobacterium tuberculosis
Volume: 20 Issue: 27
Author(s): Sanchaita Rajkhowa and Ramesh C. Deka
Affiliation:
Keywords: Tuberculosis, 2D QSAR, 3D QSAR, DFT.
Abstract: Tuberculosis caused by Mycobacterium tuberculosis is an infectious bacterial disease which is a leading cause of mortality affecting more than 9 million people worldwide. The current standard regimens that are available for the treatment of TB are severely hampered due to the occurrence of multidrug-resistant (MDR-TB) and extensively drug-resistant (XDR-TB) strains of Mycobacterium tuberculosis. In the past few years, a huge and constantly expanding effort has been developed to understand the chemical-biological interaction of many new anti-tubercular drugs and their targets in mathematical terms. Here, we have elected to review only those studies concerning 2D and 3D QSAR models that contain different DFT based descriptors as their parameters.
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Rajkhowa Sanchaita and Deka C. Ramesh, DFT Based QSAR/QSPR Models in the Development of Novel Anti-tuberculosis Drugs Targeting Mycobacterium tuberculosis, Current Pharmaceutical Design 2014; 20 (27) . https://dx.doi.org/10.2174/1381612819666131118165824
DOI https://dx.doi.org/10.2174/1381612819666131118165824 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
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