Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Comparison of Five Protein Engineering Strategies for Stabilizing an α/β-Hydrolase.

Biochemistry - 19 Dec 2017

Jones Bryan J, Lim Huey Yee, Huang Jun, Kazlauskas Romas J

Abstract excerpt

A review of the previous stabilization of α/β-hydrolase fold enzymes revealed many different strategies, but no comparison of strategies on the same enzyme. For this reason, we compared five strategies to identify stabilizing mutations in a model α/β-hydrolase fold enzyme, salicylic acid binding protein 2, to reversible denaturation by urea and to irreversible denaturation by heat. The five strategies included...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Crystallography, X-Ray
Share to Enzyme Stability
Share to Hydrolases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Molecular

Share to Mutagenesis

Share to Point Mutation

Share to Protein Engineering

Share to Proteins

Source

Open in PubMed Open full text

Identifiers

PMID: 29087185
DOI: 10.1021/acs.biochem.7b00571
PMCID: PMC5736438

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparison of Five Protein Engineering Strategies for Stabilizing an α/β-Hydrolase.PMID 29087185Read ↗

Stabilizing proteins, simplified: A Rosetta-based webtool for predicting favorable mutations.Semantic proximity Read ↗

Automated selection of stabilizing mutations in designed and natural proteins.Semantic proximity Read ↗

Selection of mutations for increased protein stability.Semantic proximity Read ↗

A Computational Library Design Protocol for Rapid Improvement of Protein Stability: FRESCO.Semantic proximity Read ↗

Thermal stability and kinetic constants for 129 variants of a family 1 glycoside hydrolase reveal that enzyme activity and stability can be separately designed.Semantic proximity Read ↗

MEnTaT: A machine-learning approach for the identification of mutations to increase protein stability.Semantic proximity Read ↗

Experimental evolution of adenylate kinase reveals contrasting strategies toward protein thermostability.Semantic proximity Read ↗

Experimental Protocols for Generating Focused Mutant Libraries and Screening for Thermostable Proteins.Semantic proximity Read ↗

Site-wise Diversification of Combinatorial Libraries Using Insights from Structure-guided Stability Calculations.Semantic proximity Read ↗

GMMA Can Stabilize Proteins Across Different Functional Constraints.Semantic proximity Read ↗

Exploring the protein stability landscape: Bacillus subtilis lipase A as a model for detergent tolerance.Semantic proximity Read ↗

Alteration of substrate specificities of thermophilic α/β hydrolases through domain swapping and domain interface optimization.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.