Evidence map›Paper›PMID 26559682›Full record

ArticlePloS one2015

Characterizing Protease Specificity: How Many Substrates Do We Need?

Michael Schauperl, Julian E Fuchs, Birgit J Waldner, Roland G Huber, Christian Kramer, Klaus R Liedl

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Drug Discovery Strategies for Kallikrein-Related Peptidases.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Synthetic protein protease sensor platform.Frontiers in bioengineering and biotechnology · 2024
    Article
  5. Article
  6. Review
  7. Reductive site-selective atypicalScience advances · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Quantitative profiling of protease specificity.PLoS computational biology · 2021
    Article
  13. Cell Death Related Proteins Beyond Apoptosis in the CNS.Frontiers in cell and developmental biology · 2021
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Electrostatic recognition in substrate binding to serine proteases.Journal of molecular recognition : JMR · 2018
    Article
  19. Article
  20. 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

6 authors.

Michael SchauperlInstitute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020 Innsbruck, Tyrol, Austria.
Julian E FuchsInstitute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020 Innsbruck, Tyrol, Austria.
Birgit J WaldnerInstitute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020 Innsbruck, Tyrol, Austria.
Roland G HuberInstitute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020 Innsbruck, Tyrol, Austria.
Christian KramerInstitute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020 Innsbruck, Tyrol, Austria.
Klaus R LiedlInstitute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020 Innsbruck, Tyrol, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calculation of cleavage entropies allows to quantify, map and compare protease substrate specificity by an information entropy based approach. The metric intrinsically depends on the number of experimentally determined substrates (data points). Thus a statistical analysis of its numerical stability is crucial to estimate the systematic error made by estimating specificity based on a limited number of substrates. In this contribution, we show the mathematical basis for estimating the uncertainty in cleavage entropies. Sets of cleavage entropies are calculated using experimental cleavage data and modeled extreme cases. By analyzing the underlying mathematics and applying statistical tools, a linear dependence of the metric in respect to 1/n was found. This allows us to extrapolate the values to an infinite number of samples and to estimate the errors. Analyzing the errors, a minimum number of 30 substrates was found to be necessary to characterize substrate specificity, in terms of amino acid variability, for a protease (S4-S4') with an uncertainty of 5 percent. Therefore, we encourage experimental researchers in the protease field to record specificity profiles of novel proteases aiming to identify at least 30 peptide substrates of maximum sequence diversity. We expect a full characterization of protease specificity helpful to rationalize biological functions of proteases and to assist rational drug design.

Indexed as

AlgorithmsAmino Acid SequenceBayes TheoremComputational BiologyDrug DesignEndopeptidasesFactor XaHumansLinear ModelsModels, BiologicalPeptide HydrolasesPeptide LibraryPeptidesSubstrate SpecificityThrombinTrypsinEndopeptidasesFactor XaPeptide HydrolasesPeptide LibraryPeptidesThrombinTrypsin

Identifiers

PMID26559682
PMCPMC4641643

What OpenQuestion holds

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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.