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Original Articles

Monte Carlo sampling and multivariate adaptive regression splines as tools for QSAR modelling of HIV-1 reverse transcriptase inhibitors

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Pages 665-682 | Received 27 Dec 2011, Accepted 11 Apr 2012, Published online: 29 Jun 2012

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S. Bhargava, N. Adhikari, S. A. Amin, K. Das, S. Gayen & T. Jha. (2017) Hydroxyethylamine derivatives as HIV-1 protease inhibitors: a predictive QSAR modelling study based on Monte Carlo optimization. SAR and QSAR in Environmental Research 28:12, pages 973-990.
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Articles from other publishers (3)

Marcin Gackowski, Karolina Szewczyk-Golec, Robert Pluskota, Marcin Koba, Katarzyna Mądra-Gackowska & Alina Woźniak. (2022) Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Antitumor Activity of Anthrapyrazole Derivatives. International Journal of Molecular Sciences 23:9, pages 5132.
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M. Asadollahi-Baboli. (2016) In silico evaluation, molecular docking and QSAR analysis of quinazoline-based EGFR-T790M inhibitors. Molecular Diversity 20:3, pages 729-739.
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M. Asadollahi-Baboli. (2013) Aquatic Toxicity Assessment of Esters Towards the Daphnia magna Through PCA-ANFIS. Bulletin of Environmental Contamination and Toxicology 91:4, pages 450-454.
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