Evidence map›Paper›PMID 30940883›Full record

ArticleScientific reports2019

Identification of Allosteric Inhibitors against Active Caspase-6.

Agne Tubeleviciute-Aydin, Alexandre Beautrait, Jeffrey Lynham, Gyanesh Sharma, Alexei Gorelik, Ludovic J Deny, Naoto Soya, Gergely L Lukacs, Bhushan Nagar, Anne Marinier and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Discovery of a HiddenACS omega · 2023
    Article
  10. Article
  11. Review
  12. Mechanisms of Gasdermin Recognition by Proteases.Journal of molecular biology · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. 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

11 authors.

Agne Tubeleviciute-AydinBloomfield Center for Research in Aging, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Ch. Cote Ste-Catherine, Montreal, Quebec, H3T 1E2, Canada.
Alexandre BeautraitInstitute for Research in Immunology and Cancer, Université de Montréal, 2590, chemin de Polytechnique, Montreal, Quebec, H3T 1J4, Canada.
Jeffrey LynhamBloomfield Center for Research in Aging, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Ch. Cote Ste-Catherine, Montreal, Quebec, H3T 1E2, Canada.ORCID http://orcid.org/0000-0002-9211-2733
Gyanesh SharmaBloomfield Center for Research in Aging, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Ch. Cote Ste-Catherine, Montreal, Quebec, H3T 1E2, Canada.
Alexei GorelikDepartment of Biochemistry, McGill University, 3649 promenade Sir-William-Osler, Montreal, Quebec, H3G 0B1, Canada.ORCID http://orcid.org/0000-0001-6236-4633
Ludovic J DenyInstitute for Research in Immunology and Cancer, Université de Montréal, 2590, chemin de Polytechnique, Montreal, Quebec, H3T 1J4, Canada.
Naoto SoyaDepartment of Physiology and Biochemistry, McGill University, 3655 Promenade Sir-William-Osler, Montréal, Québec, H3G 1Y6, Canada.ORCID http://orcid.org/0000-0003-0086-4389
Gergely L LukacsDepartment of Physiology and Biochemistry, McGill University, 3655 Promenade Sir-William-Osler, Montréal, Québec, H3G 1Y6, Canada.
Bhushan NagarDepartment of Biochemistry, McGill University, 3649 promenade Sir-William-Osler, Montreal, Quebec, H3G 0B1, Canada.
Anne MarinierInstitute for Research in Immunology and Cancer, Université de Montréal, 2590, chemin de Polytechnique, Montreal, Quebec, H3T 1J4, Canada.ORCID http://orcid.org/0000-0002-0116-8345
Andrea C LeBlancBloomfield Center for Research in Aging, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Ch. Cote Ste-Catherine, Montreal, Quebec, H3T 1E2, Canada. andrea.leblanc@mcgill.ca.

Funding

Correction of defective functional expression of CFTR in cystic fibrosisR01DK075302 · NIDDK · MCGILL UNIVERSITY · PI LUKACS, GERGELY L. · 2006 to 2020
$3.3M
CIHR MOP-243413-BCA-CGAG-45097NIDDK NIH HHS R01 DK075302
6 · The paper itself

Abstract

Caspase-6 is a cysteine protease that plays essential roles in programmed cell death, axonal degeneration, and development. The excess neuronal activity of Caspase-6 is associated with Alzheimer disease neuropathology and age-dependent cognitive impairment. Caspase-6 inhibition is a promising strategy to stop early stage neurodegenerative events, yet finding potent and selective Caspase-6 inhibitors has been a challenging task due to the overlapping structural and functional similarities between caspase family members. Here, we investigated how four rare non-synonymous missense single-nucleotide polymorphisms (SNPs), resulting in amino acid substitutions outside human Caspase-6 active site, affect enzyme structure and catalytic efficiency. Three investigated SNPs were found to align with a putative allosteric pocket with low sequence conservation among human caspases. Virtual screening of 57,700 compounds against the putative Caspase-6 allosteric pocket, followed by in vitro testing of the best virtual hits in recombinant human Caspase-6 activity assays identified novel allosteric Caspase-6 inhibitors with IC

Indexed as

Mutation, MissenseAllosteric RegulationAmino Acid SubstitutionCaspase 6Caspase InhibitorsCatalytic DomainComputer SimulationCrystallography, X-RayHumansModels, MolecularPolymorphism, Single NucleotideProtein BindingProtein ConformationSmall Molecule LibrariesStructure-Activity RelationshipCASP6 protein, humanCaspase 6Caspase InhibitorsSmall Molecule Libraries

Identifiers

PMID30940883
PMCPMC6445123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.