Evento

In silico-guided drug repurposing: identification of non-competitive inhibitors of Trypanosoma cruzi and Plasmodium falciparum cysteine proteases

Salas Sarduy, Emir Icon; Alberca, Lucas Nicolás Icon; Bellera, Carolina Leticia Icon; Talevi, Alan Icon

Otros responsables

Fecha

2020

Editorial

Fundación Revista Medicina

Revista

Título del libro

Nombre del evento

LXIV Reunión Anual de la Sociedad Argentina de Investigación Clínica; LI Reunión Anual de la Asociación Argentina de Farmacología Experimenta; XXI Reunión Anual de la Sociedad Argentina de Biología; XXXI Reunión Anual de la Sociedad Argentina de Protozoología; IX Reunión Anual de la Asociación Argentina de Nanomedicinas y VI Reunión Científica Regional de la Asociación Argentina de Ciencia y Tecnología de Animales de Laboratorio

Fecha del evento

2019-11-13

Institución organizadora

Sociedad Argentina de Investigación Clínica
Asociación Argentina de Farmacología Experimental
Sociedad Argentina de Biología
Sociedad Argentina de Protozoología
Asociación Argentina de Nanomedicinas
Asociación Argentina de Ciencia y Tecnología de Animales de Laboratorio

ISSN

0025-7680

eISSN

1669-9106

ISBN

Idioma

Inglés

Tipo del evento

Reunión

Clasificación temática

Resumen

Abstract/Resumen: Trypanosoma cruzi and Plasmodium falciparum are the etiologic agents of Chagas disease and Malaria, respectively. Cysteine proteases play key roles in the pathogenesis and survival of these parasites, such as cell/tissue penetration, hydrolysis of host or parasite proteins, autophagy, and evasion or modulation of the host immune response, being considered attractive chemotherapeutic targets. Cruzipain (Cz) and Falcipain-2 (FP-2) are two essential cysteine proteases of such organisms. Previously, we have found that methacycline (a member of tetracycline family) is a non-competitive inhibitor of FP-2 (Alberca et al. 2019). In this study our objective has been the characterization of six tetracycline analogues (tetracycline, minocycline, doxycycline, oxytetracycline, chlortetracycline and methacycline) as inhibitors of these cysteine proteases by in silico and in vitro determinations. First, we used bioinformatic tools to predict possible allosteric binding pockets; subsequently, we studied their possible interactions with these proteases by molecular docking simulations. The structures of the enzymes were obtained from the Protein data bank. Finally, we proceed to inhibition studies on the purified enzymes, which confirmed that these family of antibiotics inhibit cysteine proteases in a reversible, non-competitive manner, with Ki values in the mid-micromolar order. Our results provide further evidence on the utility of computational tools as a rational basis for systematic drug repurposing.

Aprobación

Revisión

Complementado por

Referenciado por

Licencia Creative Commons

Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa