Grandits M, Michlmayr H, Sygmund C, Oostenbrink C. Calculation of substrate binding affinities for a bacterial GH78 rhamnosidase through molecular dynamics simulations.
ACTA ACUST UNITED AC 2013;
92:34-43. [PMID:
23914137 PMCID:
PMC3663046 DOI:
10.1016/j.molcatb.2013.03.012]
[Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2012] [Revised: 02/21/2013] [Accepted: 03/22/2013] [Indexed: 11/28/2022]
Abstract
Structural model of rhamnosidase Ram2 of Pediococcus acidilactici.
Calculated binding free energies of rutinose and p-NPR agree with experiments.
Suggested binding poses of rutinose and p-NPR are distinctly different.
Different binding poses of rutinose and p-NPR are supported by experiments.
Active site residues are proposed for further mutagenesis studies
Ram2 from Pediococcus acidilactici is a rhamnosidase from the glycoside hydrolase family 78. It shows remarkable selectivity for rutinose rather than para-nitrophenyl-alpha-l-rhamnopyranoside (p-NPR). Molecular dynamics simulations were performed using a homology model of this enzyme, in complex with both substrates. Free energy calculations lead to predicted binding affinities of −34.4 and −30.6 kJ mol−1 respectively, agreeing well with an experimentally estimated relative free energy of 5.4 kJ mol−1. Further, the most relevant binding poses could be determined. While p-NPR preferably orients its rhamnose moiety toward the active site, rutinose interacts most strongly with its glucose moiety. A detailed hydrogen bond analysis confirms previously implicated residues in the active site (Asp217, Asp222, Trp226, Asp229 and Glu488) and quantifies the importance of individual residues for the binding. The most important amino acids are Asp229 and Phe339 which are involved in many interactions during the simulations. While Phe339 was observed in more simulations, Asp229 was involved in more persistent interactions (forming an average of at least 2 hydrogen bonds during the simulation). These analyses directly suggest mutations that could be used in a further experimental characterization of the enzyme. This study shows once more the strength of computer simulations to rationalize and guide experiments at an atomic level.
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