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Predicting antimicrobial activities of benzimidazole derivatives

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Abstract

A data set of 31 benzimidazole derivatives with antibacterial activities against gram-positive (e.g. Staphylococcus aureus, methicillin-resistant S. aureus (MRSA) and Bacillus subtilis) and gram-negative (e.g. Escherichai coli) bacteria as well as antifungal (e.g. Candida albicans) activity were used for quantitative structure–activity relationship (QSAR) study. Compounds were characterized by quantum chemical descriptors calculated at B3LYP/6-31G(d) level and molecular descriptors generated using Dragon software. The QSAR model was constructed using multiple linear regression method and sampled by leave-one-out cross-validation and the predictive performance can be deduced from the correlation coefficient (r), which was in the range of 0.4194–0.8485 while root mean square error (RMSE) was in the range of 0.039–0.3247. Particularly, QSAR model against S. aureus, MRSA (clinical isolates) and E. coli provided good predictive ability with r values of 0.8485, 0.8443 and 0.833, respectively, and RMSE values of 0.2662, 0.2488 and 0.039, respectively. The QSAR models demonstrated high potential for the rational design of novel benzimidazole derivatives with potent antimicrobial activities.

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Acknowledgments

This research project is supported by Office of the Higher Education Commission and Mahidol University under the National Research Universities Initiative.

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Authors and Affiliations

  1. Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand

    Apilak Worachartcheewan & Chanin Nantasenamat

  2. Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand

    Apilak Worachartcheewan, Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ayudhya & Virapong Prachayasittikul

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  1. Apilak Worachartcheewan
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Correspondence to Chanin Nantasenamat or Virapong Prachayasittikul.

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Worachartcheewan, A., Nantasenamat, C., Isarankura-Na-Ayudhya, C. et al. Predicting antimicrobial activities of benzimidazole derivatives. Med Chem Res 22, 5418–5430 (2013). https://doi.org/10.1007/s00044-013-0539-y

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