Evidence map›Paper›PMID 39817270›Full record

ArticleBioMed research international2025

Identification and Characterization of a Protease Producing

Md Ekhlas Uddin, Md Ramjan Sheikh, Md Asaduzzaman, Sohel Ahmed, Sukalyan Kumar Kundu, Abu Ali Ibn Sina

Abstract read
In one paragraph

Article in BioMed research international, 2025. 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
–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

6 citing papers in PubMed.

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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

6 authors.

Md Ekhlas UddinDepartment of Biochemistry & Molecular Biology, Gono Bishwabidyalay, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5016-6055
Md Ramjan SheikhDepartment of Biochemistry & Molecular Biology, Gono Bishwabidyalay, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0007-8248-7869
Md AsaduzzamanDepartment of Biochemistry & Molecular Biology, Gono Bishwabidyalay, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-7412-5656
Sohel AhmedDepartment of Biochemistry & Molecular Biology, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-5985-4578
Sukalyan Kumar KunduDepartment of Pharmacy, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5130-7163
Abu Ali Ibn SinaCenter for Personalized Nanomedicine, Australian Institute for Bioengineering & Nanotechnology (AIBN), The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-8099-3863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental pollution has been a significant concern for the last few years. The leather industry significantly contributes to the economy but is one of Bangladesh's most prominent polluting industries. It is also responsible for several severe diseases such as cancer, lung diseases, and heart diseases of leather workers because they use bleaching agents and chemicals, and these have numerous adverse effects on human health. The study was aimed at isolating, identifying, and molecularly characterizing bacteria that produce protease enzymes that are highly capable of dehairing goat hide. Several attempts were made to isolate and identify protease-producing bacterial strains from different soil samples of tannery wastes. Initially, a total of four isolates were selected from tannery soil. After the different phenotypic and morphological characterization, one isolate (BS2) showed Gram-positive, rod-shaped, and spore-forming characteristics and could produce novel hair-degrading protease enzymes. The growth profile and protease activity of the bacteria at 37°C were observed; a basal level of extracellular protease increased with time. The enzyme's proteolytic activity was measured, and the unit of enzyme activity of the enzyme sample was 18.1. The ExPASy server (ProtParam) tool was used to estimate the physicochemical characteristics of the proteins and found molecular weight (MW) (7375.94 Da), aliphatic index (71.56), instability index (II, 80.63), Grand Average of Hydropathy (GRAVY) (-0.231), and isoelectric point (11.41). The protein-protein interactions (PPI) networks were generated using the Search Tool for the Retrieval of Interacting Genes (STRING) database and Cytoscape software. The PSIPRED v.4.0 and SAVES v.6.0 programs were used to determine the secondary and three-dimensional assembly of the selected protein. They found alpha helix (16, 25.00%), extended strand (6, 9.38%), beta-turn (5, 7.81%), and random coil (37, 57.81%). DNA isolation and purification were carried out, and the purity ratio was ~2.17 at 260 and 280 nm. Polymerase chain reaction (PCR) for amplifying the 16S rRNA gene was conducted, and the isolate was authentically recognized as

Indexed as

Bacillus cereusBacterial ProteinsPeptide HydrolasesSkinTanningAnimalsGoatsIndustrial WasteBacterial ProteinsIndustrial WastePeptide Hydrolasesbioremediationecofriendly environmentidentificationleather residuesmolecular characterizationprotease producing bacteria

Identifiers

PMID39817270
PMCPMC11729492

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