Evidence map›Paper›PMID 21682278›Full record

ArticleJournal of proteome research2011

Structural determinants of limited proteolysis.

Marat D Kazanov, Yoshinobu Igarashi, Alexey M Eroshkin, Piotr Cieplak, Boris Ratnikov, Ying Zhang, Zhanwen Li, Adam Godzik, Andrei L Osterman, Jeffrey W Smith

Abstract read
In one paragraph

Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Predicting Structural Susceptibility of Proteins to Proteolytic Processing.International journal of molecular sciences · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Predicting Proteolysis in Complex Proteomes Using Deep Learning.International journal of molecular sciences · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Matrix metalloproteinases - From the cleavage data to the prediction tools and beyond.Biochimica et biophysica acta. Molecular cell research · 2017
    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

10 authors.

Marat D KazanovSanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, California 92037, USA.
Yoshinobu Igarashi
Alexey M Eroshkin
Piotr Cieplak
Boris Ratnikov
Ying Zhang
Zhanwen Li
Adam Godzik
Andrei L Osterman
Jeffrey W Smith

Funding

CORE 6 : PROJECT LEADERSHIP AND ADMINISTRATIONU54RR020843 · NCRR · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI SMITH, JEFFREY W · 2004 to 2009
$19.1M
NCRR NIH HHS RR020843NCRR NIH HHS U54 RR020843
6 · The paper itself

Abstract

Limited or regulatory proteolysis plays a critical role in many important biological pathways like blood coagulation, cell proliferation, and apoptosis. A better understanding of mechanisms that control this process is required for discovering new proteolytic events and for developing inhibitors with potential therapeutic value. Two features that determine the susceptibility of peptide bonds to proteolysis are the sequence in the vicinity of the scissile bond and the structural context in which the bond is displayed. In this study, we assessed statistical significance and predictive power of individual structural descriptors and combination thereof for the identification of cleavage sites. The analysis was performed on a data set of >200 proteolytic events documented in CutDB for a variety of mammalian regulatory proteases and their physiological substrates with known 3D structures. The results confirmed the significance and provided a ranking within three main categories of structural features: exposure > flexibility > local interactions. Among secondary structure elements, the largest frequency of proteolytic cleavage was confirmed for loops and lower but significant frequency for helices. Limited proteolysis has lower albeit appreciable frequency of occurrence in certain types of β-strands, which is in contrast with some previous reports. Descriptors deduced directly from the amino acid sequence displayed only marginal predictive capabilities. Homology-based structural models showed a predictive performance comparable to protein substrates with experimentally established structures. Overall, this study provided a foundation for accurate automated prediction of segments of protein structure susceptible to proteolytic processing and, potentially, other post-translational modifications.

Indexed as

ProteolysisAmino Acid SequenceModels, MolecularMolecular Sequence DataProteinsProtein Structure, SecondaryProteins

Identifiers

PMID21682278
PMCPMC3164237

What OpenQuestion holds

Textmetadata
LicenceTDM
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.