Evidence map›Paper›PMID 26288260›Full record

ArticleACS medicinal chemistry letters2015

Multicomponent Synthesis and Biological Evaluation of a Piperazine-Based Dopamine Receptor Ligand Library.

Mattia Stucchi, Peter Gmeiner, Harald Huebner, Giulia Rainoldi, Alessandro Sacchetti, Alessandra Silvani, Giordano Lesma

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Mattia StucchiDipartimento di Chimica, Universit degli Studi di Milano , via Golgi 19, 20133 Milano, Italy.
Peter GmeinerDepartment of Chemistry and Pharmacy Emil Fischer Center, Friedrich Alexander University , Schuhstraße 19, D-91052 Erlangen, Germany.
Harald HuebnerDepartment of Chemistry and Pharmacy Emil Fischer Center, Friedrich Alexander University , Schuhstraße 19, D-91052 Erlangen, Germany.
Giulia RainoldiDipartimento di Chimica, Universit degli Studi di Milano , via Golgi 19, 20133 Milano, Italy.
Alessandro SacchettiDipartimento di Chimica, Materiali ed Ing. Chimica "Giulio Natta", Politecnico di Milano , p.zza Leonardo da Vinci 32, 20133 Milano, Italy.
Alessandra SilvaniDipartimento di Chimica, Universit degli Studi di Milano , via Golgi 19, 20133 Milano, Italy.
Giordano LesmaDipartimento di Chimica, Universit degli Studi di Milano , via Golgi 19, 20133 Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A series of 1,4-disubstituted piperazine-based compounds were designed, synthesized, and evaluated as dopamine D2/D3 receptor ligands. The synthesis relies on the key multicomponent split-Ugi reaction, assessing its great potential in generating chemical diversity around the piperazine core. With the aim of evaluating the effect of such diversity on the dopamine receptor affinity, a small library of compounds was prepared, applying post-Ugi transformations. Ligand stimulated binding assays indicated that some compounds show a significant affinity, with K i values up to 53 nM for the D2 receptor. Molecular docking studies with the D2 and D3 receptor homology models were also performed on selected compounds. They highlighted key interactions at the indole head and at the piperazine moiety, which resulted in good agreement with the known pharmacophore models, thus helping to explain the observed structure-activity relationship data. Molecular insights from this study could enable a rational improvement of the split-Ugi primary scaffold, toward more selective ligands.

Indexed as

D2/D3 dopamine receptormolecular dockingMulticomponent reactionsplit-Ugi

Identifiers

PMID26288260
PMCPMC4538446

What OpenQuestion holds

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Registered trials

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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.