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Application of target repositioning and in silico screening to exploit fatty acid binding proteins (FABPs) from Echinococcus multilocularis as possible drug targets.

Authors :
Bélgamo JA
Alberca LN
Pórfido JL
Romero FNC
Rodriguez S
Talevi A
Córsico B
Franchini GR
Source :
Journal of computer-aided molecular design [J Comput Aided Mol Des] 2020 Dec; Vol. 34 (12), pp. 1275-1288. Date of Electronic Publication: 2020 Oct 17.
Publication Year :
2020

Abstract

Fatty acid binding proteins (FABPs) are small intracellular proteins that reversibly bind fatty acids and other hydrophobic ligands. In cestodes, due to their inability to synthesise fatty acids and cholesterol de novo, FABPs, together with other lipid binding proteins, have been proposed as essential, involved in the trafficking and delivery of such lipophilic metabolites. Pharmacological agents that modify specific parasite FABP function may provide control of lipid signalling pathways, inflammatory responses and metabolic regulation that could be of crucial importance for the parasite development and survival. Echinococcus multilocularis and Echinococcus granulosus are, respectively, the causative agents of alveolar and cystic echinococcosis (or hydatidosis). These diseases are included in the World Health Organization's list of priority neglected tropical diseases. Here, we explore the potential of FABPs from cestodes as drug targets. To this end, we have applied a target repurposing approach to identify novel inhibitors of Echinococcus spp. FABPs. An ensemble of computational models was developed and applied in a virtual screening campaign of DrugBank library. 21 hits belonging to the applicability domain of the ensemble models were identified, and 3 of the hits were assayed against purified E. multilocularis FABP, experimentally confirming the model's predictions. Noteworthy, this is to our best knowledge the first report on isolation and purification of such four FABP, for which initial structural and functional characterization is reported here.

Details

Language :
English
ISSN :
1573-4951
Volume :
34
Issue :
12
Database :
MEDLINE
Journal :
Journal of computer-aided molecular design
Publication Type :
Academic Journal
Accession number :
33067653
Full Text :
https://doi.org/10.1007/s10822-020-00352-8