Evidence map›Paper›PMID 41874796›Full record

ReviewWorld journal of microbiology & biotechnology2026

Gene regulatory and biomolecular networks and their multifaceted biotechnological applications.

Srabani Kar, Manideepa Barua, Eetika Chot, Rajeev K Azad, Pratyoosh Shukla

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Srabani Kar *Enzyme Technology and Protein Bioinformatics Laboratory, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.
Manideepa Barua *Enzyme Technology and Protein Bioinformatics Laboratory, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.
Eetika Chot *Enzyme Technology and Protein Bioinformatics Laboratory, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.
Rajeev K AzadDepartment of Biological Sciences, University of North Texas, Denton, TX, 76203, USA. Rajeev.Azad@unt.edu.
Pratyoosh ShuklaEnzyme Technology and Protein Bioinformatics Laboratory, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India. pratyoosh.shukla@gmail.com.ORCID http://orcid.org/0000-0002-9307-4126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene regulatory networks (GRNs) are crucial for understanding the physiological properties of the cells and the organisms as they reveal complex biomolecular interactions. GRNs provide insights into biochemical reactions that occur involving various genes, proteins, metabolites and transcription factors within the cell. GRNs are a powerful tool for understanding biomolecular interactions at the systems level, as even small changes in one part of the network can affect the entire cell system of an organism. The present review discusses the importance of GRNs, which are interrogated for a variety of purposes including in personalized medicine and in devising therapeutic solutions for various diseases. Our review also describes various gene regulatory networks and their significance in diverse areas of biotechnology. Finally, the gene networks tools for drug discovery, drug targeting and delivery, and treatment in precision medicine are described. Our review highlights the GRN tools and technologies, their prospects and the challenges associated with the interpretation of the networks and translational potential of the new insights gained.

Indexed as

BiotechnologyGene Regulatory NetworksAnimalsDrug DiscoveryHumansMetabolic Networks and PathwaysPrecision MedicineSignal TransductionDrug discoveryGene regulatory network (GRN)Metabolic networkPersonalised medicineSignalling networkSTRINGTranscription regulatory network

Identifiers

PMID41874796

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.