Evidence map›Paper›PMID 42884031›Full record

ReviewInternational journal of molecular sciences2026

Thermostable Carbohydrate-Active Enzymes for High-Temperature Biomass Conversion: From Molecular Design to Process Integration.

Yueli Hu, Xi Yang, Tianqi Wang, Mingshu Zheng, Zhenghao Jiang, Xinyue Dou, Xinkun Ren, Jiaxin Wu

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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

8 authors.

Yueli HuCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.
Xi YangSchool of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China.
Tianqi WangCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.
Mingshu ZhengSchool of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China.
Zhenghao JiangCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.
Xinyue DouCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.ORCID 0009-0005-2700-6159
Xinkun RenCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.
Jiaxin WuCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.ORCID 0009-0006-0924-6922

Funding

Jiangsu Funding Program for Excellent Postdoctoral Talent 2025ZB684National Key Research and Development Program 2022YFC2105203National Natural Science Foundation of China 52370039Science Fund of Jiangsu Province BK20230022
6 · The paper itself

Abstract

High-temperature processing of carbohydrate-rich biomass, including starch liquefaction and lignocellulose saccharification, can improve sugar yields, reduce contamination risks, and facilitate integration with thermochemical pretreatments. However, the operational stability of native carbohydrate-active enzymes (CAZymes) at 60-90 °C remains a major bottleneck for efficient and economically viable biorefineries, and existing reviews rarely integrate multiscale molecular mechanisms with process-relevant engineering strategies. This review systematically examines the multiscale basis of thermostability in CAZymes-covering core hydrophobic packing, electrostatic and metal-mediated networks, disulfide bonds, conformational dynamics, and modular architectures involving catalytic domains, linkers, and carbohydrate-binding modules-and directly links these features to enzyme longevity under high-solids, inhibitor-rich conditions. We then critically compare key engineering strategies, including structure-guided rational design, semi-rational directed evolution, consensus design, ancestral sequence reconstruction, and machine learning-assisted workflows embedded in design-build-test-learn (DBTL) cycles, highlighting their respective strengths, limitations, and complementarity. Representative case studies demonstrate that engineered thermophilic α-amylases and cellulases achieving ΔT

Indexed as

BiomassCarbohydrate Binding ModulesEnzyme StabilityHot TemperatureLigninProtein EngineeringLigninlignocellulosedesign–build–test–learn (DBTL)high-temperature biomass conversionlignocellulose saccharificationprotein engineeringstarch liquefactionthermostable carbohydrate-active enzymes

Identifiers

PMID42884031
PMCPMC13665343

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.