Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular docking

Capuramycin and a few semisynthetic derivatives have shown potential as anti-tuberculosis antibiotics.To understand their mechanism of action and structureactivity relationships a 3D-QSAR and molecular docking studies were performed. A set of 52 capuramycin derivatives for the training set and 13 fo...

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Main Authors: Jin Yuanyuan, Fan Shuai, Lv Guangxin, Meng Haoyi, Sun Zhengyang, Jiang Wei, Van Lanen Steven G., Yang Zhaoyong
Format: Article
Language:English
Published: De Gruyter 2017-12-01
Series:Open Chemistry
Subjects:
Online Access:https://doi.org/10.1515/chem-2017-0039
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author Jin Yuanyuan
Fan Shuai
Lv Guangxin
Meng Haoyi
Sun Zhengyang
Jiang Wei
Van Lanen Steven G.
Yang Zhaoyong
author_facet Jin Yuanyuan
Fan Shuai
Lv Guangxin
Meng Haoyi
Sun Zhengyang
Jiang Wei
Van Lanen Steven G.
Yang Zhaoyong
author_sort Jin Yuanyuan
collection DOAJ
description Capuramycin and a few semisynthetic derivatives have shown potential as anti-tuberculosis antibiotics.To understand their mechanism of action and structureactivity relationships a 3D-QSAR and molecular docking studies were performed. A set of 52 capuramycin derivatives for the training set and 13 for the validation set was used. A highly predictive MFA model was obtained with crossvalidated q2 of 0.398, and non-cross validated partial least-squares (PLS) analysis showed a conventional r2 of 0.976 and r2pred of 0.839. The model has an excellent predictive ability. Combining the 3D-QSAR and molecular docking studies, a number of new capuramycin analogs with predicted improved activities were designed. Biological activity tests of one analog showed useful antibiotic activity against Mycobacterium smegmatis MC2 155 and Mycobacterium tuberculosis H37Rv. Computer-aided molecular docking and 3D-QSAR can improve the design of new capuramycin antimycobacterial antibiotics.
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spelling doaj.art-14fda7caeb5c40b6af19b2407e4cd5482022-12-21T21:35:50ZengDe GruyterOpen Chemistry2391-54202017-12-0115129930710.1515/chem-2017-0039chem-2017-0039Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular dockingJin Yuanyuan0Fan Shuai1Lv Guangxin2Meng Haoyi3Sun Zhengyang4Jiang Wei5Van Lanen Steven G.6Yang Zhaoyong7Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100050, People’s Republic of ChinaInstitute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100050, People’s Republic of ChinaInstitute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100050, People’s Republic of ChinaInstitute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100050, People’s Republic of ChinaInstitute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100050, People’s Republic of ChinaInstitute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100050, People’s Republic of ChinaDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, Lexington, KY 40536(USA)Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100050, People’s Republic of ChinaCapuramycin and a few semisynthetic derivatives have shown potential as anti-tuberculosis antibiotics.To understand their mechanism of action and structureactivity relationships a 3D-QSAR and molecular docking studies were performed. A set of 52 capuramycin derivatives for the training set and 13 for the validation set was used. A highly predictive MFA model was obtained with crossvalidated q2 of 0.398, and non-cross validated partial least-squares (PLS) analysis showed a conventional r2 of 0.976 and r2pred of 0.839. The model has an excellent predictive ability. Combining the 3D-QSAR and molecular docking studies, a number of new capuramycin analogs with predicted improved activities were designed. Biological activity tests of one analog showed useful antibiotic activity against Mycobacterium smegmatis MC2 155 and Mycobacterium tuberculosis H37Rv. Computer-aided molecular docking and 3D-QSAR can improve the design of new capuramycin antimycobacterial antibiotics.https://doi.org/10.1515/chem-2017-0039capuramycin analogueantimycobacterial3d-qsarmolecular dockingdrug design
spellingShingle Jin Yuanyuan
Fan Shuai
Lv Guangxin
Meng Haoyi
Sun Zhengyang
Jiang Wei
Van Lanen Steven G.
Yang Zhaoyong
Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular docking
Open Chemistry
capuramycin analogue
antimycobacterial
3d-qsar
molecular docking
drug design
title Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular docking
title_full Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular docking
title_fullStr Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular docking
title_full_unstemmed Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular docking
title_short Computer-aided drug design of capuramycin analogues as anti-tuberculosis antibiotics by 3D-QSAR and molecular docking
title_sort computer aided drug design of capuramycin analogues as anti tuberculosis antibiotics by 3d qsar and molecular docking
topic capuramycin analogue
antimycobacterial
3d-qsar
molecular docking
drug design
url https://doi.org/10.1515/chem-2017-0039
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