Evidence map›Paper›PMID 25326869›Full record

ArticleJournal of computer-aided molecular design2015

A desirability function-based scoring scheme for selecting fragment-like class A aminergic GPCR ligands.

Ádám A Kelemen, György G Ferenczy, György M Keserű

Erratum issuedAbstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

  1. GPCRLigNet: rapid screening for GPCR active ligands using machine learning.Journal of computer-aided molecular design · 2023
    Article
  2. Article
  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ádám A KelemenMedicinal Chemistry Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, Budapest, 1117, Hungary.
György G Ferenczy
György M Keserű

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A physicochemical property-based desirability scoring scheme for fragment-based drug discovery was developed for class A aminergic GPCR targeted fragment libraries. Physicochemical property distributions of known aminergic GPCR-active fragments from the ChEMBL database were examined and used for a desirability function-based score. Property-distributions such as log D (at pH 7.4), PSA, pKa (strongest basic center), number of nitrogen atoms, number of oxygen atoms, and the number of rotatable bonds were combined into a desirability score (FrAGS). The validation of the scoring scheme was carried out using both public and proprietary experimental screening data. The scoring scheme is suitable for the design of aminergic GPCR targeted fragment libraries and might be useful for preprocessing fragments before structure based virtual or wet screening.

Indexed as

Databases, FactualDrug DiscoveryLigandsNitrogenOxygenPeptide FragmentsReceptors, G-Protein-CoupledReproducibility of ResultsSmall Molecule LibrariesStructure-Activity RelationshipLigandsNitrogenOxygenPeptide FragmentsReceptors, G-Protein-CoupledSmall Molecule Libraries

Identifiers

What OpenQuestion holds

Textmetadata
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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.