Evidence map›Paper›PMID 29213119›Full record

ArticleScientific reports2017

Electrostatic Map Of Proteasome α-Rings Encodes The Design of Allosteric Porphyrin-Based Inhibitors Able To Affect 20S Conformation By Cooperative Binding.

Antonio Di Dato, Alessandra Cunsolo, Marco Persico, Anna Maria Santoro, Alessandro D'Urso, Danilo Milardi, Roberto Purrello, Manuela Stefanelli, Roberto Paolesse, Grazia R Tundo and 3 more

Open access · goldAbstract 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

13 authors at 4 institutions in 1 country.

Antonio Di DatoDipartimento di Farmacia Università di Napoli "Federico II", Via D. Montesano, 49 I, 80131, Napoli, Italy.
Alessandra CunsoloDipartimento di Scienze Chimiche, Università degli Studi di Catania, Viale A. Doria 6, 95125, Catania, Italy.
Marco PersicoDipartimento di Farmacia Università di Napoli "Federico II", Via D. Montesano, 49 I, 80131, Napoli, Italy.
Anna Maria SantoroIstituto di Biostrutture e Bioimmagini-CNR sede secondaria di Catania, Via P. Gaifami, 9- 95126, Catania, Italy.
Alessandro D'UrsoDipartimento di Scienze Chimiche, Università degli Studi di Catania, Viale A. Doria 6, 95125, Catania, Italy.ORCID 0000-0002-0255-1792
Danilo MilardiIstituto di Biostrutture e Bioimmagini-CNR sede secondaria di Catania, Via P. Gaifami, 9- 95126, Catania, Italy.
Roberto PurrelloDipartimento di Scienze Chimiche, Università degli Studi di Catania, Viale A. Doria 6, 95125, Catania, Italy. rpurrello@unict.it.ORCID 0000-0001-9738-4255
Manuela StefanelliDipartimento di Scienze e Tecnologie Chimiche, Università di Roma Tor Vergata-Via della Ricerca Scientifica, 00133, Roma, Italy.
Roberto PaolesseDipartimento di Scienze e Tecnologie Chimiche, Università di Roma Tor Vergata-Via della Ricerca Scientifica, 00133, Roma, Italy.ORCID 0000-0002-2380-1404
Grazia R TundoDipartimento di Scienze Cliniche e Medicina Traslazionale, Università di Roma Tor Vergata, Via Montpellier 1, 00133, Roma, Italy.
Diego SbardellaDipartimento di Scienze Cliniche e Medicina Traslazionale, Università di Roma Tor Vergata, Via Montpellier 1, 00133, Roma, Italy.
Caterina FattorussoDipartimento di Farmacia Università di Napoli "Federico II", Via D. Montesano, 49 I, 80131, Napoli, Italy. caterina.fattorusso@unina.it.
Massimo ColettaDipartimento di Scienze Cliniche e Medicina Traslazionale, Università di Roma Tor Vergata, Via Montpellier 1, 00133, Roma, Italy. coletta@seneca.uniroma2.it.
University of Rome Tor Vergata · ITUniversity of Catania · ITUniversity of Naples Federico II · ITConsorzio Catania Ricerche · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of allosteric proteasome inhibition in the treatment of cancer is becoming increasingly evident. Motivated by this urgent therapeutic need, we have recently identified cationic porphyrins as a highly versatile class of molecules able to regulate proteasome activity by interfering with gating mechanisms. In the present study, the mapping of electrostatic contacts bridging the regulatory particles with the α-rings of the human 20S proteasome led us to the identification of (meso-tetrakis(4-N-methylphenyl pyridyl)-porphyrin (pTMPyPP4) as a novel non-competitive inhibitor of human 20S proteasome. pTMPyPP4 inhibition mechanism implies a positive cooperative binding to proteasome, which disappears when a permanently open proteasome mutant (α-3ΔN) is used, supporting the hypothesis that the events associated with allosteric proteasome inhibition by pTMPyPP4 interfere with 20S gating and affect its "open-closed" equilibrium. Therefore, we propose that the spatial distribution of the negatively charged residues responsible for the interaction with regulatory particles at the α-ring surface of human 20S may be exploited as a blueprint for the design of allosteric proteasome regulators.

Indexed as

Allosteric RegulationBinding SitesCryoelectron MicroscopyHumansKineticsMolecular Docking SimulationMutagenesisPorphyrinsProteasome Endopeptidase ComplexProteasome InhibitorsProtein Structure, QuaternaryProtein SubunitsStatic ElectricityPorphyrinsProteasome Endopeptidase ComplexProteasome InhibitorsProtein Subunits

Identifiers

PMID29213119
PMCPMC5719074
OpenAlexW2771880548

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.