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Anti- Leishmania infantum in vitro effect of n -cyclohexyl-1,2,4-oxadiazole and its ADME/TOX parameters.

Cristian Vicson Gomes PinheiroWildson Max Barbosa da SilvaJoão Pedro Viana RodriguesYasmim Mendes RochaMaria Jania TeixeiraRonaldo Nascimento de OliveiraNatália Vasconcelos de SouzaRoberto Nicolete
Published in: Journal of parasitic diseases : official organ of the Indian Society for Parasitology (2021)
Leishmaniasis is a disease that represents a serious global health problem with a potentially fatal outcome in some cases. Leishmania spp. is transmitted by the bite of a sandfly and the disease is endemic in 98 countries. Treatment is carried out with toxic drugs and not consistently effective, so there is a need for new treatments. Oxadiazoles are five-membered heterocyclic compounds, and their antileishmanial activity is well documented in the literature. Specifically, n -cyclohexyl-1,2,4-oxadiazole (2b) was designed to obtain the simplified molecular data line entry system (SMILES). The approach for predicting pharmacokinetic properties used was pkCSM-Pharmacokinetics and ADME/TOX parameters were achieved. SMILES of 2b and Amphotericin B (ANF B) were submitted to the server and the results were compared. The cytotoxic action of 2b on host cells (LLC-MK2) was also evaluated, using MTT salt and antileishmanial activity against Leishmania infantum promastigotes at different concentrations for 24 h. The molecule 2b studied here demonstrated low toxicity in LLC-MK2 cells even at the highest concentration (1000 µM) with cell viability of 69%. Furthermore, it demonstrated anti- L. infantum action with cell viability of 13% at the highest concentration (1000 μM), while (ANF B) (16 μg/mL) demonstrated cell viability of 7%, justifying the need for further studies with n -cyclohexyl-1.2,4-oxadiazole employing experimental models of leishmaniasis.
Keyphrases
  • induced apoptosis
  • global health
  • cell cycle arrest
  • molecular docking
  • public health
  • endoplasmic reticulum stress
  • signaling pathway
  • machine learning
  • pi k akt
  • protein protein
  • solid state