Evidence map›Paper›PMID 34567931›Full record

Review3 Biotech2021

Industrial applications of cold-adapted enzymes: challenges, innovations and future perspective.

Anil Kumar, Srijana Mukhia, Rakshak Kumar

Abstract readReview
In one paragraph

Review in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Cold-Adapted Proteases: An Efficient and Energy-Saving Biocatalyst.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Industrial Biotechnology Based on Enzymes From Extreme Environments.Frontiers in bioengineering and biotechnology · 2022
    Review
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

3 authors.

Anil Kumar *Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Post Box No. 06, Palampur, Himachal Pradesh 176 061 India.
Srijana Mukhia *Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Post Box No. 06, Palampur, Himachal Pradesh 176 061 India.
Rakshak KumarBiotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Post Box No. 06, Palampur, Himachal Pradesh 176 061 India.ORCID 0000-0002-6982-2454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme cold environments are potential reservoirs of microorganisms producing unique and novel enzymes in response to environmental stress conditions. Such cold-adapted enzymes prove to be valuable tools in industrial biotechnology to meet the increasing demand for efficient biocatalysts. The inherent properties like high catalytic activity at low temperature, high specific activity and low activation energy make the cold-adapted enzymes well suited for application in various industries. The interest in this group of enzymes is expanding as they are the preferred alternatives to harsh chemical synthesis owing to their biodegradable and non-toxic nature. Irrespective of the multitude of applications, the use of cold-adapted enzymes at the industrial level is still limited. The current review presents the unique adaptive features and the role of cold-adapted enzymes in major industries like food, detergents, molecular biology and bioremediation. The review highlights the significance of

Indexed as

Cold-adapted enzymesFlexibilityIndustrial applicationsOmics toolsPsychrophiles

Identifiers

PMID34567931
PMCPMC8421504

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.