Data-Driven Discovery of a Novel Cutinase OryEst1 for Efficient Ester Synthesis under Aqueous Phase and Enhancement of Activity through Channel Engineering

Fatty acid esters are usually synthesized in the organic phase, and the presence of water drives the reaction toward hydrolysis, limiting it as a green solvent for esterification. This study identified a novel cutinase OryEst1 from <i>Aspergillus oryzae</i> using a data-driven strategy. It exhibited a broad substrate spectrum and great stability and efficiently catalyzed the synthesis of ethyl octanoate (con. 49.6%) at pH 5.0 and 30 °C in the aqueous phase. The catalytic triad Ser170-His235-Asp222 was stabilized by the π stacking formed between Tyr136 and Tyr169. Channel engineering broke the substrate transport bottleneck, raising ethyl octanoate conversion to 64.5% of mutant S95A. Molecular dynamics revealed that the mutation broke hydrogen bonds between the channel-gating site and lid, enhancing structural flexibility to accelerate the transportation of the substrate and product. Hydrophobic interaction in S95A anchors and orients the substrate into an active site, reducing ineffective collisions and boosting activity. The findings provide an important guide for advancing green catalysts for ester synthesis.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2026-02-09
DOI
https://doi.org/10.1021/acs.jafc.5c14907
Primary Topic
Enzyme Catalysis and Immobilization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data-Driven Discovery of a Novel Cutinase OryEst1 for Efficient Ester Synthesis under Aqueous Phase and Enhancement of Activity through Channel Engineering

Bingqian Ni, Xucheng Zhu, Weiwei Li, Mengyi Liu et al.
Journal of Agricultural and Food Chemistry
Enzyme Catalysis and Immobilization
article

Data-Driven Discovery of a Novel Cutinase OryEst1 for Efficient Ester Synthesis under Aqueous Phase and Enhancement of Activity through Channel Engineering

Bingqian Ni, Xucheng Zhu, Weiwei Li, Mengyi Liu, Xiuting Li, Baoguo Sun, Jingrong Zhao
article en

Abstract

Fatty acid esters are usually synthesized in the organic phase, and the presence of water drives the reaction toward hydrolysis, limiting it as a green solvent for esterification. This study identified a novel cutinase OryEst1 from <i>Aspergillus oryzae</i> using a data-driven strategy. It exhibited a broad substrate spectrum and great stability and efficiently catalyzed the synthesis of ethyl octanoate (con. 49.6%) at pH 5.0 and 30 °C in the aqueous phase. The catalytic triad Ser170-His235-Asp222 was stabilized by the π stacking formed between Tyr136 and Tyr169. Channel engineering broke the substrate transport bottleneck, raising ethyl octanoate conversion to 64.5% of mutant S95A. Molecular dynamics revealed that the mutation broke hydrogen bonds between the channel-gating site and lid, enhancing structural flexibility to accelerate the transportation of the substrate and product. Hydrophobic interaction in S95A anchors and orients the substrate into an active site, reducing ineffective collisions and boosting activity. The findings provide an important guide for advancing green catalysts for ester synthesis.

Journal of Agricultural and Food ChemistryVol. 74(6)
Beijing Technology and Business University (CN), China Association for Science and Technology (CN), Hong Kong General Chamber of Commerce (CN), Beijing Advanced Sciences and Innovation Center (CN)
Clean water and sanitation
Openalex Percentile: Top 63%
Enzyme Catalysis and Immobilization
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.