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      A loop engineering strategy improves laccase lcc2 activity in ionic liquid and aqueous solution

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          Abstract

          Laccases, especially high redox potential laccases, play an important role in lignin degradation.

          Abstract

          Laccases, especially high redox potential laccases, play an important role in lignin degradation. The fungal laccase lcc2 from Trametes versicolor has a high redox potential and EMIM- and BMIM-based ionic liquids show excellent solubilization of wood-derived biomass. Concentrations of EMIM and BMIM to efficiently dissolve lignin impede laccase activity. Protein engineering to improve the activity and resistance of laccases in ionic liquids offers a promising opportunity for lignin valorization for the sustainable production of fuels and bulk high-value chemicals. In this work, we have performed computational assisted protein engineering of lcc2 to increase its performance in the presence of ionic liquid and aqueous solution. We showed that the loop L1 (amino acid residues 284–320) is highly important for improving lcc2 activity in EMIM EtSO 4 and aqueous solutions. Lcc2 activity was improved based on a KnowVolution campaign through site saturation of seven amino acid positions identified by computational modeling. Simultaneous site saturation of four amino acid positions by OmniChange yielded variants OM1 (A285P/A310R/A312E/A318G) and OM3 (A310D/A312P/A318R) with a 3.9-fold (535.8 ± 36.9 U mg −1) and 1.6-fold (216.8 ± 5.3 U mg −1) increased specific activity in aqueous solution (lcc2 WT, 138.9 ± 6.5 U mg −1), respectively. High conservation of the loop L1 in fungal laccases suggests that computational assisted loop engineering might be used as a general strategy to improve their activity in ionic liquids and aqueous solutions.

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          WebLogo: a sequence logo generator.

          WebLogo generates sequence logos, graphical representations of the patterns within a multiple sequence alignment. Sequence logos provide a richer and more precise description of sequence similarity than consensus sequences and can rapidly reveal significant features of the alignment otherwise difficult to perceive. Each logo consists of stacks of letters, one stack for each position in the sequence. The overall height of each stack indicates the sequence conservation at that position (measured in bits), whereas the height of symbols within the stack reflects the relative frequency of the corresponding amino or nucleic acid at that position. WebLogo has been enhanced recently with additional features and options, to provide a convenient and highly configurable sequence logo generator. A command line interface and the complete, open WebLogo source code are available for local installation and customization. Copyright 2004 Cold Spring Harbor Laboratory Press
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            Jalview Version 2—a multiple sequence alignment editor and analysis workbench

            Summary: Jalview Version 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments. Core features include keyboard and mouse-based editing, multiple views and alignment overviews, and linked structure display with Jmol. Jalview 2 is available in two forms: a lightweight Java applet for use in web applications, and a powerful desktop application that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server. Availability: The Jalview 2 Desktop application and JalviewLite applet are made freely available under the GPL, and can be downloaded from www.jalview.org Contact: g.j.barton@dundee.ac.uk
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              Is Open Access

              ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules

              The degree of evolutionary conservation of an amino acid in a protein or a nucleic acid in DNA/RNA reflects a balance between its natural tendency to mutate and the overall need to retain the structural integrity and function of the macromolecule. The ConSurf web server (http://consurf.tau.ac.il), established over 15 years ago, analyses the evolutionary pattern of the amino/nucleic acids of the macromolecule to reveal regions that are important for structure and/or function. Starting from a query sequence or structure, the server automatically collects homologues, infers their multiple sequence alignment and reconstructs a phylogenetic tree that reflects their evolutionary relations. These data are then used, within a probabilistic framework, to estimate the evolutionary rates of each sequence position. Here we introduce several new features into ConSurf, including automatic selection of the best evolutionary model used to infer the rates, the ability to homology-model query proteins, prediction of the secondary structure of query RNA molecules from sequence, the ability to view the biological assembly of a query (in addition to the single chain), mapping of the conservation grades onto 2D RNA models and an advanced view of the phylogenetic tree that enables interactively rerunning ConSurf with the taxa of a sub-tree.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                GRCHFJ
                Green Chemistry
                Green Chem.
                Royal Society of Chemistry (RSC)
                1463-9262
                1463-9270
                2018
                2018
                : 20
                : 12
                : 2801-2812
                Affiliations
                [1 ]Lehrstuhl für Biotechnologie
                [2 ]RWTH Aachen University
                [3 ]D-52074 Aachen
                [4 ]Germany
                [5 ]DWI—Leibniz-Institute for Interactive Materials
                Article
                10.1039/C7GC03776G
                b28e6bef-56cd-4ca8-95a2-9ed0571b4a69
                © 2018

                http://rsc.li/journals-terms-of-use

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