Evidence map›Paper›PMID 24391926›Full record

ArticlePloS one2013

Functional annotation of conserved hypothetical proteins from Haemophilus influenzae Rd KW20.

Mohd Shahbaaz, Md Imtaiyaz Hassan, Faizan Ahmad

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

51 citing papers in PubMed, 106 citations in OpenAlex.

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  9. Artificial intelligence-driven reverse vaccinology forFrontiers in molecular biosciences · 2024
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  10. Computational proteomics analysis ofFrontiers in plant science · 2024
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  12. Hypothetical Proteins ofMicroorganisms · 2023
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  15. Targeting Essential Hypothetical Proteins ofBioMed research international · 2023
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  16. Structure of the hypothetical protein TTHA1873 from Thermus thermophilus.Acta crystallographica. Section F, Structural biology communications · 2022
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  17. Article
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  20. Functional Annotation of Hypothetical Proteins From theBioinformatics and biology insights · 2022
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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

3 authors at 1 institution in 1 country.

Mohd ShahbaazDepartment of Computer Science, Jamia Millia Islamia, Jamia Nagar, New Delhi, India.
Md Imtaiyaz HassanCenter for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, India.
Faizan AhmadCenter for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, India.
Jamia Millia Islamia · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haemophilus influenzae is a Gram negative bacterium that belongs to the family Pasteurellaceae, causes bacteremia, pneumonia and acute bacterial meningitis in infants. The emergence of multi-drug resistance H. influenzae strain in clinical isolates demands the development of better/new drugs against this pathogen. Our study combines a number of bioinformatics tools for function predictions of previously not assigned proteins in the genome of H. influenzae. This genome was extensively analyzed and found 1,657 functional proteins in which function of 429 proteins are unknown, termed as hypothetical proteins (HPs). Amino acid sequences of all 429 HPs were extensively annotated and we successfully assigned the function to 296 HPs with high confidence. We also characterized the function of 124 HPs precisely, but with less confidence. We believed that sequence of a protein can be used as a framework to explain known functional properties. Here we have combined the latest versions of protein family databases, protein motifs, intrinsic features from the amino acid sequence, pathway and genome context methods to assign a precise function to hypothetical proteins for which no experimental information is available. We found these HPs belong to various classes of proteins such as enzymes, transporters, carriers, receptors, signal transducers, binding proteins, virulence and other proteins. The outcome of this work will be helpful for a better understanding of the mechanism of pathogenesis and in finding novel therapeutic targets for H. influenzae.

Indexed as

Amino Acid SequenceBacterial ProteinsComputational BiologyHaemophilus influenzaeHumansMolecular Sequence AnnotationMolecular Sequence DataProteomicsROC CurveSequence Analysis, DNABacterial Proteins

Identifiers

PMID24391926
PMCPMC3877243
OpenAlexW2006025024

What OpenQuestion holds

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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.