Evidence map›Paper›PMID 37731701›Full record

ArticleRSC medicinal chemistry2023

Discovery and computational studies of piperidine/piperazine-based compounds endowed with sigma receptor affinity.

Laura De Luca, Lisa Lombardo, Salvatore Mirabile, Agostino Marrazzo, Maria Dichiara, Giuseppe Cosentino, Emanuele Amata, Rosaria Gitto

Abstract read
In one paragraph

Article in RSC medicinal chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Laura De LucaDipartimento di Scienze Chimiche, Biologiche, Farmaceutiche ed Ambientali, Università degli Studi di Messina Viale Ferdinando d'Alcontres 31 98166 Messina Italy rgitto@unime.it.ORCID https://orcid.org/0000-0003-0614-5713
Lisa LombardoDipartimento di Scienze Chimiche, Biologiche, Farmaceutiche ed Ambientali, Università degli Studi di Messina Viale Ferdinando d'Alcontres 31 98166 Messina Italy rgitto@unime.it.
Salvatore MirabileDipartimento di Scienze Chimiche, Biologiche, Farmaceutiche ed Ambientali, Università degli Studi di Messina Viale Ferdinando d'Alcontres 31 98166 Messina Italy rgitto@unime.it.ORCID https://orcid.org/0009-0004-1882-5016
Agostino MarrazzoDipartimento di Scienze del Farmaco e della Salute, Università degli Studi di Catania Viale Andrea Doria 6 95125 Catania Italy.ORCID https://orcid.org/0000-0002-8728-8857
Maria DichiaraDipartimento di Scienze del Farmaco e della Salute, Università degli Studi di Catania Viale Andrea Doria 6 95125 Catania Italy.
Giuseppe CosentinoDipartimento di Scienze del Farmaco e della Salute, Università degli Studi di Catania Viale Andrea Doria 6 95125 Catania Italy.ORCID https://orcid.org/0009-0004-6185-5747
Emanuele AmataDipartimento di Scienze del Farmaco e della Salute, Università degli Studi di Catania Viale Andrea Doria 6 95125 Catania Italy.
Rosaria GittoDipartimento di Scienze Chimiche, Biologiche, Farmaceutiche ed Ambientali, Università degli Studi di Messina Viale Ferdinando d'Alcontres 31 98166 Messina Italy rgitto@unime.it.ORCID https://orcid.org/0000-0003-0002-2253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we describe our efforts to identify sigma receptor 1 (S1R) ligands through a screening campaign on our in-house collection of piperidine/piperazine-based compounds. Our investigations led to the discovery of the potent compound 2-[4-(benzyl)-1-piperidin-1-yl]-1-4-(4-phenylpiperazin-1-yl)ethanone (1) with high affinity toward S1R (

Identifiers

PMID37731701
PMCPMC10507793

What OpenQuestion holds

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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.