Evidence map›Paper›PMID 27195495›Full record

ArticlePloS one2016

PredHSP: Sequence Based Proteome-Wide Heat Shock Protein Prediction and Classification Tool to Unlock the Stress Biology.

Ravindra Kumar, Bandana Kumari, Manish Kumar

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Gene expression and functional analysis of Aha1a and Aha1b in stress response in zebrafish.Comparative biochemistry and physiology. Part B, Biochemistry & molecular biology
    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

3 authors.

Ravindra KumarDepartment of Biophysics, University of Delhi South Campus, New Delhi, India.
Bandana KumariDepartment of Biophysics, University of Delhi South Campus, New Delhi, India.
Manish KumarDepartment of Biophysics, University of Delhi South Campus, New Delhi, India.ORCID 0000-0002-7936-9892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat shock proteins are chaperonic proteins, which are present in every domain of life. They play a crucial role in folding/unfolding of proteins, their sorting and assembly into multi-protein complex, cell cycle control and also protect the cell during stress. Considering the fact that no web-based predictor is available for simultaneous prediction and classification of HSPs, it is imperative to develop a method, which can predict and classify them efficiently. In this study, we have developed coupled amino acid composition and support vector machine based two-tier method, PredHSP that identifies heat shock proteins (1st tier) and classifies it to different families (at 2nd tier). At 1st tier, we achieved maximum accuracy 76.66% with MCC 0.43, while at 2nd tier we achieved maximum accuracy 96.36% with MCC 0.87 for HSP20, 91.91% with MCC 0.83 for HSP40, 95.96% with MCC 0.72 for HSP60, 91.87% with MCC 0.71 for HSP70, 98.43% with MCC 0.70 for HSP90 and 97.48% with MCC 0.71 for HSP100. We have also developed a webserver, as well as standalone package for the use of scientific community, which can be accessed at http://14.139.227.92/mkumar/predhsp/index.html.

Indexed as

AlgorithmsCell CycleHeat-Shock ProteinsHumansInternetMultiprotein ComplexesPredictive Value of TestsProteomeProteomicsReproducibility of ResultsSensitivity and SpecificitySupport Vector MachineHeat-Shock ProteinsMultiprotein ComplexesProteome

Identifiers

PMID27195495
PMCPMC4873250

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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.