Evidence map›Paper›PMID 38168465›Full record

ArticleProtein science : a publication of the Protein Society2024

PBIT

Shuvechha Chakraborty, Mehdi Askari, Ram Shankar Barai, Susan Idicula-Thomas

Open access · greenAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Drug resistance mechanisms inFrontiers in pharmacology · 2026
    Review
  3. Article
  4. PBITProtein science : a publication of the Protein Society · 2024
    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

4 authors at 3 institutions in 1 country.

Shuvechha ChakrabortyBiomedical Informatics Centre, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.ORCID 0000-0002-7806-2901
Mehdi AskariDepartment of Bioinformatics, Guru Nanak Khalsa College, Nathalal Parekh Marg, Mumbai, Maharashtra, India.
Ram Shankar BaraiBiological Sciences Division, ICMR-National Institute of Occupational Health, Ahmedabad, Gujrat, India.ORCID 0000-0001-9999-4575
Susan Idicula-ThomasBiomedical Informatics Centre, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.ORCID 0000-0003-3766-6757
National Institute for Research in Reproductive Health · INKraft Heinz (India) · INNational Institute of Occupational Health · IN

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR40165/BTIS/137/12/2021Indian Council of Medical Research Myco/Fell/14/2022-ECD-IIScience and Engineering Research Board, Department of Science and Technology, India CRG/2021/004937
6 · The paper itself

Abstract

Rise of life-threatening superbugs, pandemics and epidemics warrants the need for cost-effective and novel pharmacological interventions. Availability of publicly available proteomes of pathogens supports development of high-throughput discovery platforms to prioritize potential drug-targets and develop testable hypothesis for pharmacological screening. The pipeline builder for identification of target (PBIT) was developed in 2016 and updated in 2021, with the purpose of accelerating the search for drug-targets by integration of methods like comparative and subtractive genomics, essentiality/virulence and druggability analysis. Since then, it has been used for identification of drugs and vaccine targets, safety profiling of multiepitope vaccines and mRNA vaccine construction against a broad-spectrum of pathogens. This tool has now been updated with functionalities related to systems biology and immuno-informatics and validated by analyzing 48 putative antigens of Mycobacterium tuberculosis documented in literature. PBIT

Indexed as

Mycobacterium tuberculosisVaccinesDrug DiscoveryGenomicsProteomeProteomeVaccinesantigenicity predictiondruggabilitydrug-target identificationimmune-informaticsprediction algorithmsubtractive genomicssystems biology

Identifiers

PMID38168465
PMCPMC10804677
OpenAlexW4390544222

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.