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2D and 3D QSAR Studies on a Series of Antichagasic Fenarimol Derivatives
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Author(s): Anacleto S. de Souza (Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, Brazil), Leonardo G. Ferreira (Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, Brazil)and Adriano D. Andricopulo (Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, Brazil)
Copyright: 2017
Pages: 22
Source title:
Pharmaceutical Sciences: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1762-7.ch037
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Abstract
Chagas disease is one of the most important neglected tropical diseases. Endemic in Latin America, the disease is a global public health problem, affecting several countries in North America, Europe, Asia and Oceania. The disease affects around 8-10 million people worldwide and the limited treatments available present low efficacy and severe side effects, highlighting the urgent need for new therapeutic options. In this work, the authors developed QSAR models for a series of fenarimol derivatives exhibiting anti-T. cruzi activity. The models were constructed using the Hologram QSAR (HQSAR), Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. The QSAR models presented substantial predictive ability for a series of test set compounds (HQSAR, r2pred = 0.66; CoMFA, r2pred = 0.82; and CoMSIA, r2pred = 0.76), and were valuable to identify key structural features related to the observed trypanocidal activity. The results reported herein are useful for the design of novel derivatives having improved antichagasic properties.
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