Evidence map›Paper›PMID 41964717›Full record

ReviewMolecular biology reports2026

Engineering fusion enzymes for enhanced catalysis and stability: strategies and biotechnological applications.

Quratulain Maqsood, Rameen Khizar, Tahir Mehmood, Numan Ali Ch, Abdul Wajid, Shinawar Waseem Ali, Muhammada Mahnoor

Abstract readReview
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In one paragraph

Review in Molecular biology reports, 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.

Quratulain MaqsoodInstitute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan. qmabc160403473@gmail.com.
Rameen KhizarDepartment of Food Sciences, University of the Punjab, Lahore, Pakistan.
Tahir MehmoodInstitute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan.
Numan Ali ChDepartment of Public Health, University of the Punjab, Lahore, Pakistan.
Abdul WajidDepartment of Biotechnology, Engineering and Management Science, Balochistan University of Information Technology, Quetta, Pakistan.
Shinawar Waseem AliDepartment of Food Sciences, University of the Punjab, Lahore, Pakistan.
Muhammada MahnoorSehat Medical Complex, University of the Lahore, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of enzyme engineering has seen significant advancements with the development of fusion enzymes, which combine the properties of different enzymes through genetic manipulation. This review explores the effects of fusion on protein properties, improved catalytic efficiency, stability, and activity, as well as enhanced protein expression, solubility, and immobilization. We discuss strategies for preparing enzyme fusions, artificial linking techniques, and the construction of novel fusion enzymes for specific applications. Case studies demonstrate the utility of enzyme fusions in various bio-catalytic processes, including ketocarotenoid production, insect P450 fusion enzymes, and bi-functional enzymes for improved bio-processing. The application of fusion enzymes is presented as a versatile and promising approach in biotechnology, offering a platform for tailoring enzymes to meet the demands of diverse biotechnological and industrial processes.

Indexed as

BiotechnologyEnzymesProtein EngineeringRecombinant Fusion ProteinsAnimalsBiocatalysisCatalysisCytochrome P-450 Enzyme SystemEnzyme StabilityCytochrome P-450 Enzyme SystemEnzymesRecombinant Fusion ProteinsBio-processingEnzyme stabilityFusionP450 fusionProtein Engineering

Identifiers

What OpenQuestion holds

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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.