QSAR and docking studies of novel antileishmanial diaryl sulfides and sulfonamides

Mohammad Goodarzi, Elaine F.F. Da Cunha, Matheus P. Freitas, Teodorico C. Ramalho

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


Leishmaniasis is a neglected disease transmitted in many tropical and sub-tropical countries, with few studies devoted to its treatment. In this work, the activities of two antileishmanial compound classes were modeled using Dragon descriptors, and multiple linear (MLR) and support vector machines (SVM) as linear and nonlinear regression methods, respectively. Both models were highly predictive, with calibration, leave-one-out validation and external validation R2 of 0.79, 0.72 and 0.78, respectively, for the MLR-based model, improving significantly to 0.98, 0.93 and 0.90 when using SVM modeling. Therefore, novel compounds were proposed using the QSAR models built by combining the substructures of the main active compounds of both classes. The most promising structures were docked into the active site of Leishmania donovani α,β tubulin (Ld-Tub), demonstrating the high affinity of some new structures when compared to existing antileishmanial compounds.

Original languageEnglish (US)
Pages (from-to)4879-4889
Number of pages11
JournalEuropean Journal of Medicinal Chemistry
Issue number11
StatePublished - Nov 2010


  • Diaryl sulfide compounds
  • Docking
  • Leishmaniasis
  • QSAR
  • Sulfonamides

ASJC Scopus subject areas

  • Pharmacology
  • Drug Discovery
  • Organic Chemistry


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