Evidence map›Paper›PMID 33718696›Full record

ReviewACS omega2021

Synthetic Biology and Biocomputational Approaches for Improving Microbial Endoglucanases toward Their Innovative Applications.

Mandeep, Hao Liu, Pratyoosh Shukla

Open access · goldAbstract readReview
In one paragraph

Review in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Lignocellulolytic extremozymes and their biotechnological applications.Extremophiles : life under extreme conditions · 2023
    Review
  3. Review
  4. Article
  5. Review
  6. 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 2 institutions in 2 countries.

MandeepEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak 124001, Haryana, India.
Hao LiuState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, China.
Pratyoosh ShuklaEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak 124001, Haryana, India.
Maharshi Dayanand University · INSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial endoglucanases belonging to the β-1-4 glycosyl hydrolase family are useful enzymes due to their vast industrial applications in pulp and paper industries and biorefinery. They convert lignocellulosic substrates to soluble sugars and help in the biodegradation process. Various biocomputational tools can be utilized to understand the catalytic activity, reaction kinetics, complexity of active sites, and chemical behavior of enzyme complexes in reactions. This might be helpful in increasing productivity and cost reduction in industries. The present review gives an overview of some interesting aspects of enzyme design, including computational techniques such as molecular dynamics simulation, homology modeling, mutational analysis, etc., toward enhancing the quality of these enzymes. Moreover, the review also covers the aspects of synthetic biology, which could be helpful in faster and reliable development of useful enzymes with desired characteristics and applications. Finally, the review also deciphers the utilization of endoglucanases in biodegradation and emphasizes the use of diversified protein engineering tools and the modification of metabolic pathways for enzyme engineering.

Identifiers

PMID33718696
PMCPMC7948214
OpenAlexW3130428596

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.