Abstract

The prevalence of invasive fungal infections worldwide has increased in the last decades. The development of specific drugs targeting pathogenic fungi without producing collateral damage to mammalian cells is a daunting pharmacological challenge. Indeed, many of the toxicities and drug interactions observed with contemporary antifungal therapies can be attributed to “nonselective” interactions with enzymes or cell membrane systems found in mammalian host cells. A computer-aided screening strategy against the TRR1 protein of Paracoccidioides lutzii is presented here. Initially, a bank of commercially available compounds from Life Chemicals provider was docked to model by virtual screening simulations. The small molecules that interact with the model were ranked and, among the best hits, twelve compounds out of 3,000 commercially-available candidates were selected. These molecules were synthesized for validation and in vitro antifungal activity assays for Paracoccidioides lutzii and P. brasiliensis were performed. From 12 molecules tested, 3 harbor inhibitory activity in antifungal assays against the two pathogenic fungi. Corroborating these findings, the molecules have inhibitory activity against the purified recombinant enzyme TRR1 in biochemical assays. Therefore, a rational combination of molecular modeling simulations and virtual screening of new drugs has provided a cost-effective solution to an early-stage medicinal challenge. These results provide a promising technique to the development of new and innovative drugs.

Highlights

  • The incidence and prevalence of invasive fungal infections (IFI) have been important causes of morbidity and mortality, especially in the large population of immunocompromised patients [1], [2]

  • The most important IFI agents involved in opportunistic mycoses are Candida spp., Cryptococcus neoformans and Aspergillus spp. [6], [7], [8], [9], whereas the most commonly endemic mycoses are due to Histoplasma capsulatum, Paracoccidioides brasiliensis and Coccidioides spp. [10], [11]

  • The initial state for dynamics was generated from the model after 6,400 steps of conjugate gradient minimization followed by an equilibration stage of 500 ps

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Summary

Introduction

The incidence and prevalence of invasive fungal infections (IFI) have been important causes of morbidity and mortality, especially in the large population of immunocompromised patients [1], [2]. The IFI incidence has increased significantly and represents a serious public health. New Antifungal Compounds Targeting TRR1 of Paracoccidioides Genus problem, because it is associated with increased morbidity and prolonged length of hospital stay and, high costs for critically ill patients [3], [4], [5]. The most important IFI agents involved in opportunistic mycoses are Candida spp., Cryptococcus neoformans and Aspergillus spp. The acute form is fast (weeks or months) and more severe, leading to high mortality levels [18]. Many patients present relapses, complications, and sequelae such as pulmonary fibrosis

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