Evidence map›Paper›PMID 32670240›Full record

ReviewFrontiers in microbiology2020

Progress in Ameliorating Beneficial Characteristics of Microbial Cellulases by Genetic Engineering Approaches for Cellulose Saccharification.

Anica Dadwal, Shilpa Sharma, Tulasi Satyanarayana

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 76 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Extraction of Bound Polyphenols fromFoods (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Advances in succinic acid production: the enhancement of COFrontiers in bioengineering and biotechnology · 2024
    Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Structure determinants defining the specificity of papain-like cysteine proteases.Computational and structural biotechnology journal · 2022
    Review
  18. Article
  19. Review
  20. 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 at 1 institution in 1 country.

Anica DadwalDepartment of Biological Sciences and Engineering, Netaji Subhas University of Technology, New Delhi, India.
Shilpa SharmaDepartment of Biological Sciences and Engineering, Netaji Subhas University of Technology, New Delhi, India.
Tulasi SatyanarayanaDepartment of Biological Sciences and Engineering, Netaji Subhas University of Technology, New Delhi, India.
Netaji Subhas University of Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignocellulosic biomass is a renewable and sustainable energy source. Cellulases are the enzymes that cleave β-1, 4-glycosidic linkages in cellulose to liberate sugars that can be fermented to ethanol, butanol, and other products. Low enzyme activity and yield, and thermostability are, however, some of the limitations posing hurdles in saccharification of lignocellulosic residues. Recent advancements in synthetic and systems biology have generated immense interest in metabolic and genetic engineering that has led to the development of sustainable technology for saccharification of lignocellulosics in the last couple of decades. There have been several attempts in applying genetic engineering in the production of a repertoire of cellulases at a low cost with a high biomass saccharification. A diverse range of cellulases are produced by different microbes, some of which are being engineered to evolve robust cellulases. This review summarizes various successful genetic engineering strategies employed for improving cellulase kinetics and cellulolytic efficiency.

Indexed as

cellulasescellulose saccharificationcellulosomesgenetic engineeringmultifunctional cellulasesprotein engineeringthermostability

Identifiers

PMID32670240
PMCPMC7327088
OpenAlexW3037378858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.