Evidence map›Paper›PMID 30647648›Full record

ReviewJournal, genetic engineering & biotechnology2017

Microbial alkaline proteases: Optimization of production parameters and their properties.

Kanupriya Miglani Sharma, Rajesh Kumar, Surbhi Panwar, Ashwani Kumar

Open access · diamondAbstract readReview
In one paragraph

Review in Journal, genetic engineering & biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
24.2field-weighted citation impact, top 1% of its field
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

61 citing papers in PubMed, 315 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Indian journal of microbiology · 2025
    Article
  6. Article
  7. Response surface methodology to optimize theJournal of food science and technology · 2025
    Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Screening ofHeliyon · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Kanupriya Miglani SharmaDepartment of Biotechnology Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra 136119, India.
Rajesh KumarDepartment of Biotechnology Engineering, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra 136119, India.
Surbhi PanwarDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut 250004, Uttar Pradesh, India.
Ashwani KumarDepartment of Nutrition Biology, Central University of Haryana, Mahendergarh 123029, Haryana, India.
Kurukshetra University · INCentral University of Haryana · INChaudhary Charan Singh University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteases are hydrolytic enzymes capable of degrading proteins into small peptides and amino acids. They account for nearly 60% of the total industrial enzyme market. Proteases are extensively exploited commercially, in food, pharmaceutical, leather and detergent industry. Given their potential use, there has been renewed interest in the discovery of proteases with novel properties and a constant thrust to optimize the enzyme production. This review summarizes a fraction of the enormous reports available on various aspects of alkaline proteases. Diverse sources for isolation of alkaline protease producing microorganisms are reported. The various nutritional and environmental parameters affecting the production of alkaline proteases in submerged and solid state fermentation are described. The enzymatic and physicochemical properties of alkaline proteases from several microorganisms are discussed which can help to identify enzymes with high activity and stability over extreme pH and temperature, so that they can be developed for industrial applications.

Indexed as

Alkaline proteaseOptimizationSolid state fermentationSubmerged fermentation

Identifiers

PMID30647648
PMCPMC6296574
OpenAlexW2592562560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.