Evidence map›Paper›PMID 25834405›Full record

ArticleDrug design, development and therapy2015

Complete genome-wide screening and subtractive genomic approach revealed new virulence factors, potential drug targets against bio-war pathogen Brucella melitensis 16M.

Jangampalli Adi Pradeepkiran, Sri Bhashyam Sainath, Konidala Kranthi Kumar, Matcha Bhaskar

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2015. 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
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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  5. Frontiers in microbiology · 2020
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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

4 authors at 2 institutions in 1 country.

Jangampalli Adi PradeepkiranDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati, India.
Sri Bhashyam SainathCIMAR/CIIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Rua dos Bragas, Porto, Portugal ; Department of Biotechnology, Vikrama Simhapuri University, Nellore, Andhra Pradesh, India.
Konidala Kranthi KumarDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati, India.
Matcha BhaskarDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati, India.
Sri Venkateswara University · INVikrama Simhapuri University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brucella melitensis 16M is a Gram-negative coccobacillus that infects both animals and humans. It causes a disease known as brucellosis, which is characterized by acute febrile illness in humans and causes abortions in livestock. To prevent and control brucellosis, identification of putative drug targets is crucial. The present study aimed to identify drug targets in B. melitensis 16M by using a subtractive genomic approach. We used available database repositories (Database of Essential Genes, Kyoto Encyclopedia of Genes and Genomes Automatic Annotation Server, and Kyoto Encyclopedia of Genes and Genomes) to identify putative genes that are nonhomologous to humans and essential for pathogen B. melitensis 16M. The results revealed that among 3 Mb genome size of pathogen, 53 putative characterized and 13 uncharacterized hypothetical genes were identified; further, from Basic Local Alignment Search Tool protein analysis, one hypothetical protein showed a close resemblance (50%) to Silicibacter pomeroyi DUF1285 family protein (2RE3). A further homology model of the target was constructed using MODELLER 9.12 and optimized through variable target function method by molecular dynamics optimization with simulating annealing. The stereochemical quality of the restrained model was evaluated by PROCHECK, VERIFY-3D, ERRAT, and WHATIF servers. Furthermore, structure-based virtual screening was carried out against the predicted active site of the respective protein using the glycerol structural analogs from the PubChem database. We identified five best inhibitors with strong affinities, stable interactions, and also with reliable drug-like properties. Hence, these leads might be used as the most effective inhibitors of modeled protein. The outcome of the present work of virtual screening of putative gene targets might facilitate design of potential drugs for better treatment against brucellosis.

Indexed as

Biological Warfare AgentsAnti-Bacterial AgentsBacterial ProteinsBrucella melitensisGenomicsModels, MolecularMolecular StructureVirulence FactorsAnti-Bacterial AgentsBacterial ProteinsBiological Warfare AgentsVirulence FactorsBrucella melitensis 16Mhomology modelingputative genesstructure based virtual screeningsubtractive genomic approachtargets

Identifiers

PMID25834405
PMCPMC4371898
OpenAlexW1977327583

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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.