Evidence map›Paper›PMID 42801570›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution.

Fengya Ge, Xiangyang Ma, Jiyan Li, Mengxiang Wang, Fuping Lu, Yihan Liu, Lin Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 authors.

Fengya Ge *College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, P. R. China.
Xiangyang Ma *Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, The College of Biotechnology, Tianjin University of Science and Technology, Tianjin, P. R. China.
Jiyan LiKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, The College of Biotechnology, Tianjin University of Science and Technology, Tianjin, P. R. China.
Mengxiang WangCollege of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, P. R. China.
Fuping LuKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, The College of Biotechnology, Tianjin University of Science and Technology, Tianjin, P. R. China.
Yihan LiuKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, The College of Biotechnology, Tianjin University of Science and Technology, Tianjin, P. R. China.ORCID https://orcid.org/0000-0002-5322-6818
Lin WangCollege of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, P. R. China.ORCID https://orcid.org/0000-0001-5025-3880

Funding

Key Research and Development Program of Ningxia Hui Autonomous Region of China 2024BEE02021National Natural Science Fund of China 32530082Tianjin Outstanding Youth Science Fund of China 22JCJQJC00030
6 · The paper itself

Abstract

Enzyme turnover number (

Indexed as

cross‐attentionenzyme engineeringenzyme kineticslaccase

Identifiers

PMID42801570
PMCPMC13616300

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.