Evidence map›Paper›PMID 41060484›Full record

ReviewWorld journal of microbiology & biotechnology2025

Enhancing stability of enzymes for industrial applications: molecular insights and emerging approaches.

Mohd Faheem Khan

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. EvoMut: A computational framework for engineering oxidative stability in proteins.Protein science : a publication of the Protein Society · 2026
    Article
  2. Review
  3. Applications and limitations of AI tools in enzyme design.Protein science : a publication of the Protein Society · 2026
    Review
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  5. Review
  6. Review
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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

1 author.

Mohd Faheem KhanUCD School of Agriculture and Food Science, University College Dublin, Belfield Dublin 4,, Dublin, D04 V1W8, Ireland. mohd.khan@ucd.ie.ORCID http://orcid.org/0000-0002-0589-3368

Funding

University College Dublin 82930-NP
6 · The paper itself

Abstract

The growing demand for robust biocatalysts in industrial bioprocesses has intensified the pursuit of enzymes capable of functioning under extreme physicochemical conditions. This work critically examines the molecular determinants of enzyme stability, including thermostability, pH tolerance, halotolerance, resistance to solvents and oxidative stress, mechanical resilience to shear and pressure, and storage stability. These traits are essential for sustained catalytic performance in sectors such as bioenergy, pharmaceuticals, food, textiles, and environmental remediation. Recent advances in structure-guided engineering, molecular dynamics, and mutational profiling have enabled rational strategies to enhance enzyme resilience. By adopting a multi-parametric lens, this study bridges specific molecular adaptations with industrial challenges, offering a systems-level framework often lacking in single-condition analyses. It also explores emerging frontiers, including AI-assisted enzyme design, metagenomic discovery from extremophiles, and synthetic reconstruction of adaptive pathways, paving the way for next-generation biocatalysts optimised for scalability, performance, and sustainability. The novelty of this work lies in its integrative approach combining molecular insight, environmental origin, and computational tools to guide the development of industrially robust enzymes.

Indexed as

EnzymesBiocatalysisBiotechnologyEnzyme StabilityHydrogen-Ion ConcentrationProtein EngineeringEnzymesEnzyme engineeringEnzymesExtremophilesIndustrial applicationsMutagenesisStability

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.