Étude in silico de la fluoroacétate déhalogénase d’Actinoalloteichus hoggarensis
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Date
2026
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Faculté des Sciences de la Nature et de la Vie et les Sciences de la Terre, Université de Ghardaïa
Abstract
Per- and polyfluoroalkyl substances (PFAS) are persistent and widespread fluorinated organic
pollutants that require the development of advanced remediation methods. The fluoroacetate
dehalogenase from Actinoalloteichus hoggarensis is a promising microbial enzyme for the
defluorination of these compounds. It is involved in the dehalogenation of fluoroacetate by
breaking the strong carbon–fluorine (C–F) covalent bond via an SN2-type reaction
mechanism, leading to the formation of glycolate. This enzyme was the subject of an in silico
study aimed at characterizing its structural and functional properties. Analysis of the
physicochemical properties of the protein sequence indicates that it is an acidic, thermostable,
and hydrophobic protein. Furthermore, subcellular localization analysis suggests a
cytoplasmic protein. The prediction of the secondary structure, performed using the SOPMA
and PSIPRED tools, reveals a predominance of α-helices over β-sheets, with an estimated
proportion of 43.49%. The three-dimensional structure of the enzyme, predicted by homology
modeling using the SWISS-MODEL server, exhibits the highest structural quality compared
to other servers. It was subsequently validated using the PROCHECK, ERRAT, and Verify3D
tools. Furthermore, analysis performed with MOTIF Finder identified three domains
characteristic of the α/β hydrolase superfamily. Molecular docking also allowed us to estimate
the interaction energy with perfluorooctanesulfonic acid (PFOS) at −7.2 kcal/mol (Vina
score), thereby predicting the enzyme’s potential to interact with the selected ligands. These
results provide an important theoretical basis for elucidating the reaction mechanism of
fluoroacetate dehalogenase as well as for engineering improved enzyme variants.
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Keywords
Fluoroacetate dehalogenase, Actinoalloteichus hoggarensis, PFAS, physicochemical properties, Functional Analysis, 3D Modeling., Fluoroacétate déhalogénase, propriétés physicochimiques, Analyse fonctionnelle, modélisation 3D.
