Evidence map›Paper›PMID 35984536›Full record

ArticleJournal, genetic engineering & biotechnology2022

Plant catalase in silico characterization and phylogenetic analysis with structural modeling.

Takio Nene, Meera Yadav, Hardeo Singh Yadav

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. In Silico Characterization of the RCC1 Family and the UVR8 Gene inInternational journal of molecular sciences · 2025
    Article
  4. Medicinal chemistry (Shariqah (United Arab Emirates)) · 2025
    Article
  5. Article
  6. Article
  7. Functional Activity of the Antioxidant System ofPlants (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Article
  10. Secretome Analysis for a New Strain of the Blackleg FungusJournal of fungi (Basel, Switzerland) · 2023
    Article
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.

Takio NeneDepartment of Chemistry, North Eastern Regional Institute of Science and Technology, Itanagar, India. nentakio@ymail.com.ORCID http://orcid.org/0000-0002-6854-152X
Meera YadavDepartment of Chemistry, North Eastern Regional Institute of Science and Technology, Itanagar, India. drmeerayadav@rediffmail.com.
Hardeo Singh YadavDepartment of Chemistry, North Eastern Regional Institute of Science and Technology, Itanagar, India.
North Eastern Regional Institute of Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCatalase (EC 1.11.1.6) is a heme-containing tetrameric enzyme that plays a critical role in signaling and hydrogen peroxide metabolism. It was the first enzyme to be crystallized and isolated. Catalase is a well-known industrial enzyme used in diagnostic and analytical methods in the form of biomarkers and biosensors, as well as in the textile, paper, food, and pharmaceutical industries. In silico analysis of CAT genes and proteins has gained increased interest, emphasizing the development of biomarkers and drug designs. The present work aims to understand the catalase evolutionary relationship of plant species and analyze its physicochemical characteristics, homology, phylogenetic tree construction, secondary structure prediction, and 3D modeling of protein sequences and its validation using a variety of conventional computational methods to assist researchers in better understanding the structure of proteins.

resultsAround 65 plant catalase sequences were computationally evaluated and subjected to bioinformatics assessment for physicochemical characterization, multiple sequence alignment, phylogenetic construction, motif and domain identification, and secondary and tertiary structure prediction. The phylogenetic tree revealed six unique clusters where diversity of plant catalases was found to be the largest for Oryza sativa. The thermostability and hydrophilic nature of these proteins were primarily observed, as evidenced by a relatively high aliphatic index and negative GRAVY value. The distribution of 5 sequence motifs was uniformly distributed with a width length of 50 with the best possible amino residue sequences that resemble the plant catalase PLN02609 superfamily. Using SOPMA, the predicted secondary structure of the protein sequences revealed the predominance of the random coil. The predicted 3D CAT model from Arabidopsis thaliana was a homotetramer, thermostable protein with 59-KDa weight, and its structural validation was confirmed by PROCHECK, ERRAT, Verify3D, and Ramachandran plot. The functional relationships of our query sequence revealed the glutathione reductase as the closest interacting protein of query protein.

conclusionsThis theoretical plant catalases in silico analysis provide insight into its physiochemical characteristics and functional and structural understanding and its evolutionary behavior and exploring protein structure-function relationships when crystal structures are unavailable.

Indexed as

CatalaseHomology modelingIn silicoPhylogeneticThermostable

Identifiers

PMID35984536
PMCPMC9391562
OpenAlexW4292363782

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.