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      Pyranose Dehydrogenase Ligand Promiscuity: A Generalized Approach to Simulate Monosaccharide Solvation, Binding, and Product Formation

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          Abstract

          The flavoenzyme pyranose dehydrogenase (PDH) from the litter decomposing fungus Agaricus meleagris oxidizes many different carbohydrates occurring during lignin degradation. This promiscuous substrate specificity makes PDH a promising catalyst for bioelectrochemical applications. A generalized approach to simulate all 32 possible aldohexopyranoses in the course of one or a few molecular dynamics (MD) simulations is reported. Free energy calculations according to the one-step perturbation (OSP) method revealed the solvation free energies (ΔG solv) of all 32 aldohexopyranoses in water, which have not yet been reported in the literature. The free energy difference between β- and α-anomers (ΔG β-α) of all d-stereoisomers in water were compared to experimental values with a good agreement. Moreover, the free-energy differences (ΔG) of the 32 stereoisomers bound to PDH in two different poses were calculated from MD simulations. The relative binding free energies (ΔΔG bind) were calculated and, where available, compared to experimental values, approximated from K m values. The agreement was very good for one of the poses, in which the sugars are positioned in the active site for oxidation at C1 or C2. Distance analysis between hydrogens of the monosaccharide and the reactive N5-atom of the flavin adenine dinucleotide (FAD) revealed that oxidation is possible at HC1 or HC2 for pose A, and at HC3 or HC4 for pose B. Experimentally detected oxidation products could be rationalized for the majority of monosaccharides by combining ΔΔG bind and a reweighted distance analysis. Furthermore, several oxidation products were predicted for sugars that have not yet been tested experimentally, directing further analyses. This study rationalizes the relationship between binding free energies and substrate promiscuity in PDH, providing novel insights for its applicability in bioelectrochemistry. The results suggest that a similar approach could be applied to study promiscuity of other enzymes.

          Author Summary

          Generally, enzymes are perceived as being specific for both their substrates and the reaction they catalyze. This standard paradigm started to shift and currently enzyme promiscuity towards various substrates is perceived rather as the rule than the exception. Enzyme promiscuity seems to be vital for proteins to acquire new functions, and therefore for evolution itself. The driving forces for promiscuity are manifold and consequently challenging to study. Binding free energies, which can be calculated from computer simulations, represent a convenient measure for them. Here, we investigate the binding free energies between the enzyme pyranose dehydrogenase (PDH) and a sugar-substrate by computational means. PDH has an extraordinarily promiscuous substrate-specificity, making it interesting for e.g. bioelectrochemical applications. By introducing modifications to the sugar-structure used for the molecular dynamics simulations, we could simultaneously study all 32 possible aldohexopyranoses from a single simulation. This saves costly computational resources and time for setting up and analyzing the simulations. We could nicely reproduce experimental results and predict so far undetected sugar-oxidation products, directing further experiments. This study gives novel insights into PDH's substrate promiscuity and the enzyme's applicability. A similar approach could be applied to study the promiscuity of other enzymes.

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          Most cited references31

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          Enzyme promiscuity: evolutionary and mechanistic aspects.

          The past few years have seen significant advances in research related to the 'latent skills' of enzymes - namely, their capacity to promiscuously catalyze reactions other than the ones they evolved for. These advances regard (i) the mechanism of catalytic promiscuity - how enzymes, that generally exert exquisite specificity, promiscuously catalyze other, and sometimes barely related, reactions; (ii) the evolvability of promiscuous functions - namely, how latent activities evolve further, and in particular, how promiscuous activities can firstly evolve without severely compromising the original activity. These findings have interesting implications on our understanding of how new enzymes evolve. They support the key role of catalytic promiscuity in the natural history of enzymes, and suggest that today's enzymes diverged from ancestral proteins catalyzing a whole range of activities at low levels, to create families and superfamilies of potent and highly specialized enzymes.
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            Conformational diversity and protein evolution--a 60-year-old hypothesis revisited.

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              Protein promiscuity and its implications for biotechnology.

              Molecular recognition between proteins and their interacting partners underlies the biochemistry of living organisms. Specificity in this recognition is thought to be essential, whereas promiscuity is often associated with unwanted side effects, poor catalytic properties and errors in biological function. Recent experimental evidence suggests that promiscuity, not only in interactions but also in the actual function of proteins, is not as rare as was previously thought. This has implications not only for our fundamental understanding of molecular recognition and how protein function has evolved over time but also in the realm of biotechnology. Understanding protein promiscuity is becoming increasingly important not only to optimize protein engineering applications in areas as diverse as synthetic biology and metagenomics but also to lower attrition rates in drug discovery programs, identify drug interaction surfaces less susceptible to escape mutations and potentiate the power of polypharmacology.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, USA )
                1553-734X
                1553-7358
                December 2014
                11 December 2014
                : 10
                : 12
                : e1003995
                Affiliations
                [1 ]Food Biotechnology Laboratory, Department of Food Science and Technology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
                [2 ]Laboratory of Physical Chemistry, Swiss Federal Institute of Technology, ETH, Zürich, Switzerland
                [3 ]Institute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
                [4 ]Laboratory for Molecular Modeling, National Institute of Chemistry, Ljubljana, Slovenia
                University of Maryland, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: MMHG LZ UB DH WFvG CO. Performed the experiments: MMHG LZ. Analyzed the data: MMHG LZ UB CO. Contributed reagents/materials/analysis tools: WFvG CO. Wrote the paper: MMHG LZ UB DH WFvG CO.

                Article
                PCOMPBIOL-D-14-01383
                10.1371/journal.pcbi.1003995
                4263366
                25500811
                4c17fceb-1f78-4aa1-974b-7e67f978234f
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 July 2014
                : 13 October 2014
                Page count
                Pages: 13
                Funding
                This work was funded by: Austrian Science Fund (doctoral program Biotechnology of Proteins, grant number W1224; www.fwf.ac.at): MMHG. European Research Council (grant number 260408; http://erc.europa.eu): UB and CO. European Research Council (grant number 228076; http://erc.europa.eu): LZ and WFvG. Vienna Science and Technology Fund (grant number LS08-QM03; www.wwtf.at): CO. Slovenian Research Agency (grant numbers P1-0002 and J1-5448; www.arrs.gov.si): UB. Swiss National Science Foundation (grant number 200020-137827; http://www.snf.ch): LZ and WFvG. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biophysics
                Biophysical Simulations
                Computational Biology
                Physical Sciences
                Chemistry
                Computational Chemistry
                Molecular Dynamics
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

                Quantitative & Systems biology
                Quantitative & Systems biology

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