Evidence map›Paper›PMID 30082611›Full record

ArticleMolecules (Basel, Switzerland)2018

Truly Target-Focused Pharmacophore Modeling: A Novel Tool for Mapping Intermolecular Surfaces.

Jérémie Mortier, Pratik Dhakal, Andrea Volkamer

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. CACHE Challenge #1: Docking with GNINA Is All You Need.Journal of chemical information and modeling · 2024
    Article
  3. Watermelon: setup and validation of anJournal of enzyme inhibition and medicinal chemistry · 2024
    Article
  4. Article
  5. Journal of chemical information and modeling · 2023
    Article
  6. Dehydrovomifoliol Alleviates Nonalcoholic Fatty Liver DiseaseEvidence-based complementary and alternative medicine : eCAM · 2023
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Recent Advances in In Silico Target Fishing.Molecules (Basel, Switzerland) · 2021
    Review
  12. Review
  13. Article
  14. Article
  15. Molecular Modeling in Drug Design.Molecules (Basel, Switzerland) · 2019
    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

3 authors.

Jérémie MortierIn-Silico Toxicology Group, Institute of Physiology, Charité-Universitätsmedizin Berlin, Virchowweg 6, 10117 Berlin, Germany. jeremie.mortier@gmail.com.ORCID 0000-0001-8707-3867
Pratik DhakalIn-Silico Toxicology Group, Institute of Physiology, Charité-Universitätsmedizin Berlin, Virchowweg 6, 10117 Berlin, Germany. dhakal.pratik@gmail.com.
Andrea VolkamerIn-Silico Toxicology Group, Institute of Physiology, Charité-Universitätsmedizin Berlin, Virchowweg 6, 10117 Berlin, Germany. andrea.volkamer@charite.de.ORCID 0000-0002-3760-580X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacophore models are an accurate and minimal tridimensional abstraction of intermolecular interactions between chemical structures, usually derived from a group of molecules or from a ligand-target complex. Only a limited amount of solutions exists to model comprehensive pharmacophores using the information of a particular target structure without knowledge of any binding ligand. In this work, an automated and customable tool for truly target-focused (T²F) pharmacophore modeling is introduced. Key molecular interaction fields of a macromolecular structure are calculated using the AutoGRID energy functions. The most relevant points are selected by a newly developed filtering cascade and clustered to pharmacophore features with a density-based algorithm. Using five different protein classes, the ability of this method to identify essential pharmacophore features was compared to structure-based pharmacophores derived from ligand-target interactions. This method represents an extremely valuable instrument for drug design in a situation of scarce ligand information available, but also in the case of underexplored therapeutic targets, as well as to investigate protein allosteric pockets and protein-protein interactions.

Indexed as

Models, TheoreticalAlgorithmsDrug DesignMolecular StructureAutoGriddensity-based clusteringgrid mapsmethod developmentprobe energiesstructure-based drug designtarget-focused pharmacophore modeling

Identifiers

PMID30082611
PMCPMC6222449

What OpenQuestion holds

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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.