Skip to content
#protein folding Open access

Rational mutagenesis reveals substrate-specific activity shifts in the Antarctic polyesterase MoPE.

Sep 2026 · Enzyme and Microbial Technology · Vol 202, pp. 110971 · 0 citations
Medicine

TL;DR

Overall, this work demonstrates that rational mutagenesis can alter polyesterase activity against structurally distinct biodegradable polyesters, providing potential mechanistic insights to guide the development of specialized biocatalysts for targeted polyester degradation.

Abstract

Despite rapid advances in biocatalytic polyester depolymerization, enzyme discovery and engineering remain largely focused on polyethylene terephthalate, leaving the molecular basis of activity towards increasingly used biodegradable polyesters poorly understood. Building on the broad substrate range of the polyesterase from the Antarctic bacterium Moraxella sp. TA144 (MoPE), we investigated the effect of protein engineering on the activity and degradation profile towards structurally distinct biodegradable polyesters, including poly(butylene adipate-co-terephthalate) (PBAT), polycaprolactone (PCL), and poly(3-hydroxybutyrate) (PHB). Guided by comparative structural analysis of benchmark polyesterases, 13 MoPE variants were designed and selected mutants were screened against the polyester substrates by quantifying soluble hydrolysis products. All expressed variants retained conventional esterolytic activity, although their relative activity ranking was not maintained against their performance on the polymeric substrates. Rather than universally improving depolymerization efficiency, the substitutions induced substrate-dependent shifts in product formation. In PBAT hydrolysis, Y214W altered the product profile towards the aliphatic fraction, increasing adipic acid release by 1.9-fold, whereas V122T and Y214W-F246I enhanced the formation of the PCL- and PHB-derived monomers by 15- and 2.2-fold, respectively. Molecular docking suggested that the observed activity shifts may be associated with mutation-induced changes in polymer accommodation within the catalytic cleft. Overall, this work demonstrates that rational mutagenesis can alter polyesterase activity against structurally distinct biodegradable polyesters, providing potential mechanistic insights to guide the development of specialized biocatalysts for targeted polyester degradation.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or sequence constraints.

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

Google DeepMind Blog Nov 25, 2025

AlphaFold: Five years of impact

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.