Isabelle André

Insights into lid movements of Burkholderia cepacia lipase inferred from molecular dynamics simulations

The interfacial activation of many lipases at water/lipid interface is mediated by large conformational changes of a so‐called lid subdomain that covers up the enzyme active site. Here we investigated using molecular dynamic simulations in different explicit solvent environments (water, octane and water/octane interface) the molecular mechanism by which the lid motion of Burkholderia cepacia lipase might operate. Although B. cepacia lipase has so far only been crystallized in open conformation, this study reveals for the first time the major conformational rearrangements that the enzyme undergoes under the influence of the solvent, which either exposes or shields the active site from the substrate. In aqueous media, the lid switches from an open to a closed conformation while the reverse motion occurs in organic environment. In particular, the role of a subdomain facing the lid on B. cepacia lipase conformational rearrangements was investigated using position‐restrained MD simulations. Our conclusions indicate that the sole mobility of α9 helix side‐chains of B. cepacia lipase is required for the full completion of the lid conformational change which is essentially driven by α5 helix movement. The role of selected α5 hydrophobic residues on the lid movement was further examined. In silico mutations of two residues, V138 and F142, were shown to drastically modify the conformational behavior of B. cepacia lipase. Overall, our results provide valuable insight into the role played by the surrounding environment on the lid conformational rearrangement and the activation of B. cepacia lipase. Proteins 2009.

Improvement of Yarrowia lipolytica Lipase Enantioselectivity by Using Mutagenesis Targeted to the Substrate Binding Site

Enhanced enantioselectivity: The resolution of 2‐bromo‐arylacetic acid esters by Lip2p lipase from Yarrowia lipolytica was improved through mutagenesis of the substrate binding site. Position 232 was identified as crucial for the discrimination. Saturation of this position led to the identification of variant V232S, which has a tremendously increased activity and E value as compared to the parental enzyme.

Control of Lipase Enantioselectivity by Engineering the Substrate Binding Site and Access Channel

Lipase from Burkholderia cepacia (BCL) has proven to be a very useful biocatalyst for the resolution of 2‐substituted racemic acid derivatives, which are important chiral building blocks. Our previous work showed that enantioselectivity of the wild‐type BCL could be improved by chemical engineering of the substrates molecular structure. From this earlier study, three amino acids (L17, V266 and L287) were proposed as targets for mutagenesis aimed at tailoring enzyme enantioselectivity. In the present work, a small library of 57 BCL single mutants targeted on these three residues was constructed and screened for enantioselectivity towards (R,S)‐2‐chloro ethyl 2‐bromophenylacetate. This led to the fast isolation of three single mutants with a remarkable tenfold enhanced or reversed enantioselectivity. Analysis of substrate docking and access trajectories in the active site was then performed. From this analysis, the construction of 13 double mutants was proposed. Among them, an outstanding improved mutant of BCL was isolated that showed an E value of 178 and a 15‐fold enhanced specific activity compared to the parental enzyme; thus, this study demonstrates the efficiency of the semirational engineering strategy.

Transglucosidases as efficient tools for oligosaccharide and glucoconjugate synthesis.

Transglucosidases are highly promising enzymatic tools for glucodiversification. Instead of involving nucleotide-activated sugars as d-glucosyl donor, they use the energy of simple osidic linkages to synthesize carbohydrate derivatives. The remarkable promiscuity of these enzymes regarding the acceptor substrate offers great opportunities for novel synthetic reactions. Glucansucrases that use sucrose as donor substrate are of particular interest and have been widely utilized to produce diverse structurally controlled molecules. Besides site-directed mutagenesis, recent developments in the combined use of computational protein design and molecular engineering have led to major achievements to create novel enzymes, in particular for the chemo-enzymatic synthesis of antigenic oligosaccharides. These promising results pave the way to the future development of tailored catalysts for the synthesis of glucoconjugates of pharmaceutical and nutritional interest.

Applying pairwise combinations of amino Acid mutations for sorting out highly efficient glucosylation tools for chemo-enzymatic synthesis of bacterial oligosaccharides.

Iterative saturation mutagenesis and combinatorial active site saturation focused on vicinal amino acids were used to alter the acceptor specificity of amylosucrase from Neisseria polysaccharea , a sucrose-utilizing α-transglucosidase, and sort out improved variants. From the screening of three semirational sublibraries accounting in total for 20,000 variants, we report here the isolation of three double mutants of N. polysaccharea amylosucrase displaying a spectacular specificity enhancement toward both sucrose, the donor substrate, and the allyl 2-acetamido-2-deoxy-α-D-glucopyranoside acceptor as compared to the wild-type enzyme. Such levels of activity improvement have never been reported before for this class of carbohydrate-active enzymes. X-ray structure of the best performing enzymes supported by molecular dynamics simulations showed local rigidity of the -1 subsite as well as flexibility of loops involved in active site topology, which both account for the enhanced catalytic performances of the mutants. The study well illustrates the importance of taking into account the local conformation of catalytic residues as well as protein dynamics during the catalytic process, when designing enzyme libraries.

Crystal Structures of Bacterial Peptidoglycan Amidase Ampd and an Unprecedented Activation Mechanism.

AmpD is a cytoplasmic peptidoglycan (PG) amidase involved in bacterial cell-wall recycling and in induction of β-lactamase, a key enzyme of β-lactam antibiotic resistance. AmpD belongs to the amidase_2 family that includes zinc-dependent amidases and the peptidoglycan-recognition proteins (PGRPs), highly conserved pattern-recognition molecules of the immune system. Crystal structures of Citrobacter freundii AmpD were solved in this study for the apoenzyme, for the holoenzyme at two different pH values, and for the complex with the reaction products, providing insights into the PG recognition and the catalytic process. These structures are significantly different compared with the previously reported NMR structure for the same protein. The NMR structure does not possess an accessible active site and shows the protein in what is proposed herein as an inactive “closed” conformation. The transition of the protein from this inactive conformation to the active “open” conformation, as seen in the x-ray structures, was studied by targeted molecular dynamics simulations, which revealed large conformational rearrangements (as much as 17 Å) in four specific regions representing one-third of the entire protein. It is proposed that the large conformational change that would take the inactive NMR structure to the active x-ray structure represents an unprecedented mechanism for activation of AmpD. Analysis is presented to argue that this activation mechanism might be representative of a regulatory process for other intracellular members of the bacterial amidase_2 family of enzymes.

Designing a highly active soluble PQQ–glucose dehydrogenase for efficient glucose biosensors and biofuel cells

We report for the first time a soluble PQQ-glucose dehydrogenase that is twice more active than the wild type for glucose oxidation and was obtained by combining site directed mutagenesis, modelling and steady-state kinetics. The observed enhancement is attributed to a better interaction between the cofactor and the enzyme leading to a better electron transfer. Electrochemical experiments also demonstrate the superiority of the new mutant for glucose oxidation and make it a promising enzyme for the development of high-performance glucose biosensors and biofuel cells.

A new framework for computational protein design through cost function network optimization

MOTIVATION The main challenge for structure-based computational protein design (CPD) remains the combinatorial nature of the search space. Even in its simplest fixed-backbone formulation, CPD encompasses a computationally difficult NP-hard problem that prevents the exact exploration of complex systems defining large sequence-conformation spaces. RESULTS We present here a CPD framework, based on cost function network (CFN) solving, a recent exact combinatorial optimization technique, to efficiently handle highly complex combinatorial spaces encountered in various protein design problems. We show that the CFN-based approach is able to solve optimality a variety of complex designs that could often not be solved using a usual CPD-dedicated tool or state-of-the-art exact operations research tools. Beyond the identification of the optimal solution, the global minimum-energy conformation, the CFN-based method is also able to quickly enumerate large ensembles of suboptimal solutions of interest to rationally build experimental enzyme mutant libraries. AVAILABILITY The combined pipeline used to generate energetic models (based on a patched version of the open source solver Osprey 2.0), the conversion to CFN models (based on Perl scripts) and CFN solving (based on the open source solver toulbar2) are all available at http://genoweb.toulouse.inra.fr/~tschiex/CPD

Sucrose-Utilizing Transglucosidases for Biocatalysis

Sucrose-utilizing transglucosidases are valued tools in chemistry to generate glycodiversification. Not only do these enzymes use as substrate an abundant agroresource, sucrose, but they also share a remarkable versatility regarding the acceptor substrate, allowing the structurally-controlled synthesis of diverse glucosylated products. Latest research has demonstrated the potential of enzyme engineering to tailor novel sucrose-utilizing transglucosidases that give access to original carbohydrate-based structures. This chapter gives an overview of the recent achievements in biocatalysis using these enzymes.

Computational protein design as an optimization problem

Proteins are chains of simple molecules called amino acids. The three-dimensional shape of a protein and its amino acid composition define its biological function. Over millions of years, living organisms have evolved a large catalog of proteins. By exploring the space of possible amino acid sequences, protein engineering aims at similarly designing tailored proteins with specific desirable properties. In Computational Protein Design (CPD), the challenge of identifying a protein that performs a given task is defined as the combinatorial optimization of a complex energy function over amino acid sequences. In this paper, we introduce the CPD problem and some of the main approaches that have been used by structural biologists to solve it, with an emphasis on the exact method embodied in the dead-end elimination/A? algorithm (DEE/A?). The CPD problem is a specific form of binary Cost Function Network (CFN, aka Weighted CSP). We show how DEE algorithms can be incorporated and suitably modified to be maintained during search, at reasonable computational cost. We then evaluate the efficiency of CFN algorithms as implemented in our solver toulbar2, on a set of real CPD instances built in collaboration with structural biologists. The CPD problem can be easily reduced to 0/1 Linear Programming, 0/1 Quadratic Programming, 0/1 Quadratic Optimization, Weighted Partial MaxSAT and Graphical Model optimization problems. We compare toulbar2 with these different approaches using a variety of solvers. We observe tremendous differences in the difficulty that each approach has on these instances. Overall, the CFN approach shows the best efficiency on these problems, improving by several orders of magnitude against the exact DEE/A? approach. The introduction of dead-end elimination before or during search allows to further improve these results.