Computational Redesign of Aspartase from Escherichia coli and Its Catalytic Synthesis of β-Alanine

Aspartase from Escherichia coli (AspA) catalyzes the direct conversion of acrylic acid to β-alanine; however, its substrate specificity and low catalytic efficiency limit its broader application. We engineered an AspA mutant capable of efficiently catalyzing the amination of acrylic acid for β-alanine synthesis, using Rosetta Enzyme Design to computationally redesign the Cβ-binding region of the acrylic acid binding site in AspA. Based on energy scores, structural configurations, and hydrogen bonding networks, 51 candidate variants with penalty scores below 30 were selected for mutant construction and performance testing; >70% of these variants exhibited enhanced catalytic activity in acrylic acid’s hydrogen amination. Four mutants achieved over 3-fold improved activity. The optimal mutant, M1 (T190I-M324I-K327L-N329C), demonstrated a 7.3-fold increased specific enzyme activity and a 13.0-fold improved kcat/Km compared with the wild type. Conformational changes in the S-loop and enhanced hydrophobic interactions near the active site contributed significantly to M1’s enhanced activity. Upon reaction optimization, the conversion of β-alanine synthesis using M1 in whole-cell catalysis increased from 5% with the wild type to 90% with M1. This study provides a reference for the biocatalytic synthesis of β-alanine, significantly enhancing the conversion of acrylic acid and demonstrating the enzyme’s potential for industrial applications.

Authors

Institutions

Publication Details

Journal
Catalysts
Published
2026-07-16
DOI
https://doi.org/10.3390/catal16070647
Primary Topic
Amino Acid Enzymes and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Redesign of Aspartase from Escherichia coli and Its Catalytic Synthesis of β-Alanine

Yi Xu, Bao-Di Ma, Long-Xian Li
Catalysts
Amino Acid Enzymes and Metabolism
article

Computational Redesign of Aspartase from Escherichia coli and Its Catalytic Synthesis of β-Alanine

Yi Xu, Bao-Di Ma, Long-Xian Li
article en

Abstract

Aspartase from Escherichia coli (AspA) catalyzes the direct conversion of acrylic acid to β-alanine; however, its substrate specificity and low catalytic efficiency limit its broader application. We engineered an AspA mutant capable of efficiently catalyzing the amination of acrylic acid for β-alanine synthesis, using Rosetta Enzyme Design to computationally redesign the Cβ-binding region of the acrylic acid binding site in AspA. Based on energy scores, structural configurations, and hydrogen bonding networks, 51 candidate variants with penalty scores below 30 were selected for mutant construction and performance testing; >70% of these variants exhibited enhanced catalytic activity in acrylic acid’s hydrogen amination. Four mutants achieved over 3-fold improved activity. The optimal mutant, M1 (T190I-M324I-K327L-N329C), demonstrated a 7.3-fold increased specific enzyme activity and a 13.0-fold improved kcat/Km compared with the wild type. Conformational changes in the S-loop and enhanced hydrophobic interactions near the active site contributed significantly to M1’s enhanced activity. Upon reaction optimization, the conversion of β-alanine synthesis using M1 in whole-cell catalysis increased from 5% with the wild type to 90% with M1. This study provides a reference for the biocatalytic synthesis of β-alanine, significantly enhancing the conversion of acrylic acid and demonstrating the enzyme’s potential for industrial applications.

CatalystsVol. 16(7)
Shanghai Institute of Technology (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Institute of Technology, Government of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 12%
Amino Acid Enzymes and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.