QSAR modeling for anti-human African trypanosomiasis activity of substituted 2-phenylimidazopyridines

In the present work, sixty substituted 2-Phenylimidazopyridines previously reported with potent anti-human African trypanosomiasis (HAT) activity were selected to build genetic algorithm (GA) based QSAR models to determine the structural features that have significant correlation with the activity....

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Bibliographic Details
Main Authors: Masand, Vijay Hariram, El-Sayed, Nahed Nasser Eid, Mahajan, Devidas T., Mercader, Andrew G., Alafeefy, Ahmed Mahmoud, Shibi, Indira G.
Format: Article
Language:English
English
English
Published: Elsevier 2017
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Online Access:http://irep.iium.edu.my/63003/1/63003_QSAR%20modeling%20for%20anti-human%20African.pdf
http://irep.iium.edu.my/63003/2/63003_QSAR%20modeling%20for%20anti-human%20African_SCOPUS.pdf
http://irep.iium.edu.my/63003/3/63003_QSAR%20modeling%20for%20anti-human%20African_WOS.pdf
http://irep.iium.edu.my/63003/
https://www.sciencedirect.com/science/article/abs/pii/S0022286016311681
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Summary:In the present work, sixty substituted 2-Phenylimidazopyridines previously reported with potent anti-human African trypanosomiasis (HAT) activity were selected to build genetic algorithm (GA) based QSAR models to determine the structural features that have significant correlation with the activity. Multiple QSAR models were built using easily interpretable descriptors that are directly associated with the presence or the absence of a structural scaffold, or a specific atom. All the QSAR models have been thoroughly validated according to the OECD principles. All the QSAR models are statistically very robust (R2 = 0.80–0.87) with high external predictive ability (CCCex = 0.81–0.92). The QSAR analysis reveals that the HAT activity has good correlation with the presence of five membered rings in the molecule.