Computer-Assisted Design of Thiophene-Indole Hybrids as Leishmanial Agents.

Abstract:

BACKGROUND:Chemoinformatics has several applications in the field of drug design, helping to identify new compounds against a range of ailments. Among these are Leishmaniasis, effective treatments for which are currently limited. OBJECTIVE:To construct new indole 2-aminothiophene molecules using computational tools and to test their effectiveness against Leishmania amazonensis (sp.). METHODS:Based on the chemical structure of thiophene-indol hybrids, we built regression models and performed molecular docking, and used these data as bases for design of 92 new molecules with predicted pIC50 and molecular docking. Among these, six compounds were selected for the synthesis and to perform biological assays (leishmanicidal activity and cytotoxicity). RESULTS:The prediction models and docking allowed inference of characteristics that could have positive influences on the leishmanicidal activity of the planned compounds. Six compounds were synthesized, one-third of which showed promising antileishmanial activities, with IC50 ranging from 2.16 and 2.97 μM (against promastigote forms) and 0.9 and 1.71 μM (against amastigote forms), with selectivity indexes (SI) of 52 and 75. CONCLUSION:These results demonstrate the ability of Quantitative Structure-Activity Relationship (QSAR)-based rational drug design to predict molecules with promising leishmanicidal potential, and confirming the potential of thiophene-indole hybrids as potential new leishmanial agents.

journal_name

Curr Top Med Chem

authors

Félix MB,de Araújo RSA,Barros RPC,de Simone CA,Rodrigues RRL,de Lima Nunes TA,da Franca Rodrigues KA,Junior FJBM,Muratov E,Scotti L,Scotti MT

doi

10.2174/1568026620666200616142120

subject

Has Abstract

pub_date

2020-01-01 00:00:00

pages

1704-1719

issue

19

eissn

1568-0266

issn

1873-4294

pii

CTMC-EPUB-107398

journal_volume

20

pub_type

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