Evidence map›Paper›PMID 28904956›Full record

ArticleBioMed research international2017

Application of the Subtractive Genomics and Molecular Docking Analysis for the Identification of Novel Putative Drug Targets against

Tanvir Hossain, Mohammad Kamruzzaman, Talita Zahin Choudhury, Hamida Nooreen Mahmood, A H M Nurun Nabi, Md Ismail Hosen

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 42 citations in OpenAlex.

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  9. Computer-aided genomic data analysis of drug-resistantFrontiers in cellular and infection microbiology · 2023
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  13. Panomics to decode virulence and fitness in Gram-negative bacteria.Frontiers in cellular and infection microbiology · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Design of a Novel Multi Epitope-Based Vaccine for Pandemic Coronavirus Disease (COVID-19) by Vaccinomics and Probable Prevention Strategy against Avenging Zoonotics.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2020
    Article
  18. Article
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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 at 1 institution in 1 country.

Tanvir HossainDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0002-4765-6600
Mohammad KamruzzamanDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0002-7954-673X
Talita Zahin ChoudhuryDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0002-7942-8020
Hamida Nooreen MahmoodDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0003-2000-0211
A H M Nurun NabiDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0002-0504-6556
Md Ismail HosenDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0003-0862-7206
University of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of novel pathogenic strains with increased antibacterial resistance patterns poses a significant threat to the management of infectious diseases. In this study, we aimed at utilizing the subtractive genomic approach to identify novel drug targets against

Indexed as

GenomicsAmino Acid SequenceComputational BiologyDrug Delivery SystemsDrug Resistance, BacterialGenome, BacterialHumansMetabolic Networks and PathwaysMolecular Docking SimulationProteomeSalmonella entericaSalmonella InfectionsSequence HomologyProteome

Identifiers

PMID28904956
PMCPMC5585685
OpenAlexW2746592319

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.