Evidence map›Paper›PMID 37166647›Full record

ArticleApplied biochemistry and biotechnology2024

Bioactivity of Microbacterium barkeri (LMA4) In Vitro and Candidate Gene Annotation In Silico.

Krishna Kumar Das, Smaranika Pattnaik

Abstract read
PubMed Publisher
In one paragraph

Article in Applied biochemistry and biotechnology, 2024. 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

2 authors.

Krishna Kumar DasLaboratory of Medical Microbiology, Department of Biotechnology and Bioinformatics, School of Life Sciences, Sambalpur University, Jyoti Vihar, Burla, 768019, Odisha, India.
Smaranika PattnaikLaboratory of Medical Microbiology, Department of Biotechnology and Bioinformatics, School of Life Sciences, Sambalpur University, Jyoti Vihar, Burla, 768019, Odisha, India. smaranika2010@suniv.ac.in.ORCID http://orcid.org/0000-0002-0123-6176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Actinomycetes are considered a never-ending treasure trove of biometabolites, which always fascinated researchers. However, to combat with newly emerging bacterial strains, the search for novel or analogs of existing therapeutic agents is recommended. In this context, this research work was carried out to search for a biopotent Actinomycetal strain grown in untapped soil, near the Hirakud dam. This Gram-positive bacteria was subjected to screening for its bioactivity against the medically important bacteria, isolated from local hospital sample using "co-culture" method, following both qualitative and quantitative assays. Further, the 16 s rRNA sequencing, BLASTn analysis, and GC% calculation were carried out. Based upon its bioactivity, a prediction-based genomics work was pursued, considering the gene sequence deposited in public domain. The reverse translation, elution of protein structural file, and the putative protein were predicted. The strain was identified as Microbacterium barkeri, with 54.1% GC content. From Gene Ontology term annotation, it was predicted that the α/β hydrolase fold of hydrolase protein could have been responsible for antibiotic/biometabolite synthesis, in silico. The in vitro-based sequence (from Whole Genome Sequence data) had inferred that there was elution of alpha/beta hydrolase fold, substantiated with conserved domain analysis, ORF finding more over Gene Ontology (GO) terminology annotations. The GO annotations had suggested that the protein had been produced in response to a bacteria, under the influence of external stimuli more so in stress.

Indexed as

MicrobacteriumAnti-Bacterial AgentsBacterial ProteinsComputer SimulationGenome, BacterialMolecular Sequence AnnotationPhylogenyRNA, Ribosomal, 16SAnti-Bacterial AgentsBacterial ProteinsRNA, Ribosomal, 16SBiopotentHigh GC%Novel actinomycetes strainPersister generatorPutative hydrolase enzyme ontology annotation

Identifiers

PMID37166647

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.