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Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti-Trypanosoma cruzi Activity.

ABSTRACT: Small-molecule compounds that have promising activity against macromolecular targets from Trypanosoma cruzi occasionally fail when tested in whole-cell phenotypic assays. This outcome can be attributed to many factors, including inadequate physicochemical and pharmacokinetic properties. Unsuitable physicochemical profiles usually result in molecules with a poor ability to cross cell membranes. Quantitative structure-activity relationship (QSAR) analysis is a valuable approach to the investigation of how physicochemical characteristics affect biological activity. In this study, artificial neural networks (ANNs) and kernel-based partial least squares regression (KPLS) were developed using anti-T. cruzi activity data for broadly diverse chemotypes. The models exhibited a good predictive ability for the test set compounds, yielding q² values of 0.81 and 0.84 for the ANN and KPLS models, respectively. The results of this investigation highlighted privileged molecular scaffolds and the optimum physicochemical space associated with high anti-T. cruzi activity, which provided important guidelines for the design of novel trypanocidal agents having drug-like properties.

SUBMITTER: de Souza AS

PROVIDER: S-EPMC6600563 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti-<i>Trypanosoma cruzi</i> Activity.

de Souza Anacleto S AS Ferreira Leonardo L G LLG de Oliveira Aldo S AS Andricopulo Adriano D AD

International journal of molecular sciences 20190608 11

Small-molecule compounds that have promising activity against macromolecular targets from <i>Trypanosoma cruzi</i> occasionally fail when tested in whole-cell phenotypic assays. This outcome can be attributed to many factors, including inadequate physicochemical and pharmacokinetic properties. Unsuitable physicochemical profiles usually result in molecules with a poor ability to cross cell membranes. Quantitative structure-activity relationship (QSAR) analysis is a valuable approach to the inves ...[more]

PMID: 31181717

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Project description:BackgroundChagas Disease, a WHO- and NIH-designated neglected tropical disease, is endemic in Latin America and an emerging infection in North America and Europe as a result of population moves. Although a major cause of morbidity and mortality due to heart failure, as well as inflicting a heavy economic burden in affected regions, Chagas Disease elicits scant notice from the pharmaceutical industry because of adverse economic incentives. The discovery and development of new routes to chemotherapy for Chagas Disease is a clear priority.Methodology/principal findingsThe similarity between the membrane sterol requirements of pathogenic fungi and those of the parasitic protozoon Trypanosoma cruzi, the causative agent of Chagas human cardiopathy, has led to repurposing anti-fungal azole inhibitors of sterol 14?-demethylase (CYP51) for the treatment of Chagas Disease. To diversify the therapeutic pipeline of anti-Chagasic drug candidates we exploited an approach that included directly probing the T. cruzi CYP51 active site with a library of synthetic small molecules. Target-based high-throughput screening reduced the library of ?104,000 small molecules to 185 hits with estimated nanomolar K(D) values, while cross-validation against T. cruzi-infected skeletal myoblast cells yielded 57 active hits with EC(50) <10 µM. Two pools of hits partially overlapped. The top hit inhibited T. cruzi with EC(50) of 17 nM and was trypanocidal at 40 nM.Conclusions/significanceThe hits are structurally diverse, demonstrating that CYP51 is a rather permissive enzyme target for small molecules. Cheminformatic analysis of the hits suggests that CYP51 pharmacology is similar to that of other cytochromes P450 therapeutic targets, including thromboxane synthase (CYP5), fatty acid ?-hydroxylases (CYP4), 17?-hydroxylase/17,20-lyase (CYP17) and aromatase (CYP19). Surprisingly, strong similarity is suggested to glutaminyl-peptide cyclotransferase, which is unrelated to CYP51 by sequence or structure. Lead compounds developed by pharmaceutical companies against these targets could also be explored for efficacy against T. cruzi.

Dataset Information

Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti-Trypanosoma cruzi Activity.

Publications

Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti-<i>Trypanosoma cruzi</i> Activity.

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