scispace - formally typeset
Open AccessJournal ArticleDOI

Engineering the substrate specificity of a thermophilic penicillin acylase from thermus thermophilus

TLDR
Structural models, as well as docking analyses, can predict the positioning of penicillins G and K for catalysis and can demonstrate how binding in a productive pose is compromised when more than one bulky phenylalanine residue is introduced into the active site.
Abstract
A homologue of the Escherichia coli penicillin acylase is encoded in the genomes of several thermophiles, including in different Thermus thermophilus strains Although the natural substrate of this enzyme is not known, this acylase shows a marked preference for penicillin K over penicillin G Three-dimensional models were created in which the catalytic residues and the substrate binding pocket were identified Through rational redesign, residues were replaced to mimic the aromatic binding site of the E coli penicillin G acylase A set of enzyme variants containing between one and four amino acid replacements was generated, with altered catalytic properties in the hydrolyses of penicillins K and G The introduction of a single phenylalanine residue in position α188, α189, or β24 improved the K(m) for penicillin G between 9- and 12-fold, and the catalytic efficiency of these variants for penicillin G was improved up to 66-fold Structural models, as well as docking analyses, can predict the positioning of penicillins G and K for catalysis and can demonstrate how binding in a productive pose is compromised when more than one bulky phenylalanine residue is introduced into the active site

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

A review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factories.

TL;DR: Computational tools such as de novo biosynthetic pathway builders, docking, molecular dynamics and steered MD, and genome-scale metabolic flux modeling all play critical roles in the rational design of an MCF.
Journal ArticleDOI

Modular optimization of multi-gene pathways for fumarate production.

TL;DR: A modular engineering approach that systematically removed metabolic pathway bottlenecks and led to significant titer improvements in a multi-gene fumarate metabolic pathway is reported, suggesting that modular pathway engineering can systematically optimize biosynthesis pathways to enable an efficient production offumarate.
Journal ArticleDOI

Penicillin acylases revisited: importance beyond their industrial utility

TL;DR: This review details studies on biochemical and structural characteristics of recently discovered penicillin acylases and related enzymes and attempts to organize the available insights into the possible in vivo role of penicillins and related enzyme.
References
More filters
Journal ArticleDOI

Improved methods for building protein models in electron density maps and the location of errors in these models.

TL;DR: In this paper, the authors describe strategies and tools that help to alleviate this problem and simplify the model-building process, quantify the goodness of fit of the model on a per-residue basis and locate possible errors in peptide and side-chain conformations.
Journal ArticleDOI

A graph-theory algorithm for rapid protein side-chain prediction

TL;DR: A new algorithm forSCWRL is presented that uses results from graph theory to solve the combinatorial problem encountered in the side‐chain prediction problem, and will allow for use of SCWRL in more demanding applications such as sequence design and ab initio structure prediction, as well addition of a more complex energy function and conformational flexibility, leading to increased accuracy.
Journal ArticleDOI

Using AutoDock for Ligand‐Receptor Docking

TL;DR: The unit uses an X‐ray crystal structure of Indinavir bound to HIV‐1 protease taken from the Protein Data Bank and shows how to prepare the ligand and receptor for AutoGrid, which computes grid maps needed by AutoDock.
Journal ArticleDOI

Comparison of Automatic Three-Dimensional Model Builders Using 639 X-ray Structures

TL;DR: Six currently available programs for automatic 3D structure generation were compared by converting the connectivity tables including appropriate stereodescriptors from this dataset of 639 molecular structures into 3D geometries: CONCORD, ALCOGEN, Chem-X, MOLGEO, COBRA, and CORINA.
Related Papers (5)