Evidence map›Paper›PMID 38731421›Full record

ReviewMolecules (Basel, Switzerland)2024

The Benzoylpiperidine Fragment as a Privileged Structure in Medicinal Chemistry: A Comprehensive Review.

Giulia Bononi, Chiara Lonzi, Tiziano Tuccinardi, Filippo Minutolo, Carlotta Granchi

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Giulia BononiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-4336-4344
Chiara LonziDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.
Tiziano TuccinardiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-6205-4069
Filippo MinutoloDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-3312-104X
Carlotta GranchiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-5849-0722

Funding

Italian Ministry of Health Ricerca Finalizzata 2016 - NET-2016-02363765
6 · The paper itself

Abstract

The phenyl(piperidin-4-yl)methanone fragment (here referred to as the benzoylpiperidine fragment) is a privileged structure in the development of new drugs considering its presence in many bioactive small molecules with both therapeutic (such as anti-cancer, anti-psychotic, anti-thrombotic, anti-arrhythmic, anti-tubercular, anti-parasitic, anti-diabetic, and neuroprotective agents) and diagnostic properties. The benzoylpiperidine fragment is metabolically stable, and it is also considered a potential bioisostere of the piperazine ring, thus making it a feasible and reliable chemical frame to be exploited in drug design. Herein, we discuss the main therapeutic and diagnostic agents presenting the benzoylpiperidine motif in their structure, covering articles reported in the literature since 2000. A specific section is focused on the synthetic strategies adopted to obtain this versatile chemical portion.

Indexed as

Chemistry, PharmaceuticalPiperidinesAntineoplastic AgentsDrug DesignHumansMolecular StructureNeuroprotective AgentsStructure-Activity RelationshipAntineoplastic AgentsNeuroprotective AgentsPiperidinesbenzoylpiperidinebenzoylpiperidine-based small moleculesbioisosterediagnostic agentsdrug designmedicinal chemistryphenyl(piperidin-4-yl)methanoneprivileged structuretherapeutic agents

Identifiers

PMID38731421
PMCPMC11085656

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.