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In silico and empirical approaches toward understanding the structural adaptation of the alkaline-stable lipase KV1 from Acinetobacter haemolyticus

Batumalaie, K. and Edbeib, M. F. and Mahat, N. A. and Huyop, F. and Wahab, R. A. (2018) In silico and empirical approaches toward understanding the structural adaptation of the alkaline-stable lipase KV1 from Acinetobacter haemolyticus. Journal of Biomolecular Structure and Dynamics, 36 (12). pp. 3077-3093. ISSN 0739-1102

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Official URL: http://dx.doi.org/10.1080/07391102.2017.1377635

Abstract

Interests in Acinetobacter haemolyticus lipases are showing an increasing trend concomitant with growth of the enzyme industry and the widening search for novel enzymes and applications. Here, we present a structural model that reveals the key catalytic residues of lipase KV1 from A. haemolyticus. Homology modeling of the lipase structure was based on the structure of a carboxylesterase from the archaeon Archaeoglobus fulgidus as the template, which has a sequence that is 58% identical to that of lipase KV1. The lipase KV1 model is comprised of a single compact domain consisting of seven parallel and one anti-parallel β-strand surrounded by nine α-helices. Three structurally conserved active-site residues, Ser165, Asp259, and His289, and a tunnel through which substrates access the binding site were identified. Docking of the substrates tributyrin and palmitic acid into the pH 8 modeled lipase KV1 active sites revealed an aromatic platform responsible for the substrate recognition and preference toward tributyrin. The resulting binding modes from the docking simulation correlated well with the experimentally determined hydrolysis pattern, for which pH 8 and tributyrin being the optimum pH and preferred substrate. The results reported herein provide useful insights into future structure-based tailoring of lipase KV1 to modulate its catalytic activity.

Item Type:Article
Uncontrolled Keywords:Acinetobacter haemolyticus, homology modeling, in silico, lipase, molecular docking
Subjects:Q Science > QD Chemistry
Divisions:Science
ID Code:77185
Deposited By: Fazli Masari
Deposited On:31 May 2018 09:50
Last Modified:02 Jun 2020 05:30

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