Evidence map›Paper›PMID 29066768›Full record

ArticleScientific reports2017

Functional classification of protein toxins as a basis for bioinformatic screening.

Surendra S Negi, Catherine H Schein, Gregory S Ladics, Henry Mirsky, Peter Chang, Jean-Baptiste Rascle, John Kough, Lieven Sterck, Sabitha Papineni, Joseph M Jez and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Risk analysis approaches for microbial ingredients in microbial-based cleaning products.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Quantum Dots as Biosensors in the Determination of Biochemical Parameters in Xenobiotic Exposure and Toxins.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Review
  13. Article
  14. Article
  15. Review
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

12 authors.

Surendra S NegiSealy Center for Structural Biology and Molecular Biophysics, Department of Biochemistry and Molecular Biology, University of Texas, Medical Branch, Galveston, TX, 77555-0304, USA.
Catherine H ScheinSealy Center for Structural Biology and Molecular Biophysics, Department of Biochemistry and Molecular Biology, University of Texas, Medical Branch, Galveston, TX, 77555-0304, USA.
Gregory S LadicsDuPont Haskell Laboratory, 1090 Elkton Road, Newark, DE, 19711, USA.
Henry MirskyPioneer Hi-Bred, DuPont Agricultural Biotechnology, 200 Powder Mill Road, Wilmington, DE, 19880, USA.
Peter ChangPioneer Hi-Bred, DuPont Agricultural Biotechnology, 200 Powder Mill Road, Wilmington, DE, 19880, USA.
Jean-Baptiste RascleBayer SAS, 355 rue Dostoïevski, CS 90153, Valbonne, 06906, Sophia Antipolis, France.
John KoughOffice of Pesticide Programs, Microbial Pesticides Branch, US Environmental Protection Agency, Washington, DC, USA.
Lieven SterckDepartment of Plant Systems Biology, Department of Plant Biotechnology and Bioinformatics, Ghent University, B-9052, Ghent, Belgium.ORCID 0000-0001-7116-4000
Sabitha PapineniDow AgroSciences LLC, 9330 Zionsville Road, Indianapolis, IN, 46268, USA.
Joseph M JezDepartment of Biology, Washington University in St. Louis, One Brookings Drive, CB 1137, St. Louis, MO, USA.
Lucilia Pereira MourièsILSI Health and Environmental Sciences Institute (HESI), 1156 Fifteenth St., NW, Washington, DC, 20005, USA.
Werner BraunSealy Center for Structural Biology and Molecular Biophysics, Department of Biochemistry and Molecular Biology, University of Texas, Medical Branch, Galveston, TX, 77555-0304, USA. webraun@utmb.edu.

Funding

Prediction and Classification of Allergenicity in a Protein FamilyR21AI109090 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRAUN, WERNER A · 2014 to 2015
$440k
NIAID NIH HHS R21 AI109090
6 · The paper itself

Abstract

Proteins are fundamental to life and exhibit a wide diversity of activities, some of which are toxic. Therefore, assessing whether a specific protein is safe for consumption in foods and feeds is critical. Simple BLAST searches may reveal homology to a known toxin, when in fact the protein may pose no real danger. Another challenge to answer this question is the lack of curated databases with a representative set of experimentally validated toxins. Here we have systematically analyzed over 10,000 manually curated toxin sequences using sequence clustering, network analysis, and protein domain classification. We also developed a functional sequence signature method to distinguish toxic from non-toxic proteins. The current database, combined with motif analysis, can be used by researchers and regulators in a hazard screening capacity to assess the potential of a protein to be toxic at early stages of development. Identifying key signatures of toxicity can also aid in redesigning proteins, so as to maintain their desirable functions while reducing the risk of potential health hazards.

Indexed as

Computational BiologyAmino Acid SequenceCluster AnalysisDatabases, ProteinGene OrderModels, MolecularProtein DomainsProteinsRiskToxins, BiologicalProteinsToxins, Biological

Identifiers

PMID29066768
PMCPMC5655178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.