Evidence map›Paper›PMID 41730905›Full record

ArticleNature communications2026

Engineering LmrR protein for L-proline-based asymmetric aldol biocatalysis.

Haofan Lu, Wan-Qiu Liu, Xiangyang Ji, Xiao Zheng, Yuhao Zhang, Yuhao Luo, Yiyao Guo, Jian Li

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Haofan LuSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China.
Wan-Qiu LiuSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China.
Xiangyang JiSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China.
Xiao ZhengSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China.ORCID http://orcid.org/0009-0005-1085-0900
Yuhao ZhangSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China.
Yuhao LuoSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China.
Yiyao GuoSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China.
Jian LiSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, China. lijian@shanghaitech.edu.cn.ORCID http://orcid.org/0000-0003-2359-238X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32571664
6 · The paper itself

Abstract

L-Proline is a powerful organocatalyst widely applied in asymmetric synthesis due to its secondary amine functionality. However, in proteins, this functional group is locked in peptide bonds, rendering proline catalytically inactive. Natural enzymes that leverage L-proline-based catalysis are exceedingly rare. Here, we engineer the nonenzymatic protein scaffold LmrR into a new-to-nature biocatalyst by exposing its native L-proline residue at the N-terminus to catalyze enantioselective aldol reactions. Through rational design, protein engineering, and reaction optimization, we develop an engineered LmrR variant that achieves up to 99% conversion and >99% enantiomeric excess across a range of aromatic and heteroaromatic aldehyde substrates. Our findings reveal a unique strategy for unlocking dormant catalytic potential in natural amino acids and protein scaffolds, providing an applicable approach to create tailored, L-proline-based enzymes for asymmetric synthesis.

Indexed as

AldehydesBacterial ProteinsProlineProtein EngineeringBiocatalysisStereoisomerism3-hydroxybutanalAldehydesBacterial ProteinsProline

Identifiers

PMID41730905
PMCPMC13066377

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.