Evidence map›Paper›PMID 29850769›Full record

ArticleBioinformatics (Oxford, England)2018

The size matters? A computational tool to design bivalent ligands.

Laura Pérez-Benito, Andrew Henry, Minos-Timotheos Matsoukas, Laura Lopez, Daniel Pulido, Miriam Royo, Arnau Cordomí, Gary Tresadern, Leonardo Pardo

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. pyGOMoDo: GPCRs modeling and docking with python.Bioinformatics (Oxford, England) · 2023
    Article
  3. Article
  4. A Single Point Mutation Blocks the Entrance of Ligands to the Cannabinoid CBJournal of chemical information and modeling · 2022
    Article
  5. Heterobivalent Ligand for the Adenosine AJournal of medicinal chemistry · 2022
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Discovery of Homobivalent Bitopic Ligands of the Cannabinoid CBChemistry (Weinheim an der Bergstrasse, Germany) · 2020
    Article
  11. PRosettaC: Rosetta Based Modeling of PROTAC Mediated Ternary Complexes.Journal of chemical information and modeling · 2020
    Article
  12. 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

9 authors.

Laura Pérez-BenitoLaboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Andrew HenryChemical Computing Group, St John's Innovation Centre Cowley Road, Cambridge, UK.
Minos-Timotheos MatsoukasDepartment of Pharmacy, University Campus, University of Patras, School of Health Sciences, Rion, Patras, Greece.
Laura LopezLaboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Daniel PulidoCombinatorial Chemistry Unit, Barcelona Science Park, Barcelona, Spain.
Miriam RoyoCombinatorial Chemistry Unit, Barcelona Science Park, Barcelona, Spain.
Arnau CordomíLaboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Gary TresadernJanssen Research and Development, Beerse, Belgium.
Leonardo PardoLaboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Bivalent ligands are increasingly important such as for targeting G protein-coupled receptor (GPCR) dimers or proteolysis targeting chimeras (PROTACs). They contain two pharmacophoric units that simultaneously bind in their corresponding binding sites, connected with a spacer chain. Here, we report a molecular modelling tool that links the pharmacophore units via the shortest pathway along the receptors van der Waals surface and then scores the solutions providing prioritization for the design of new bivalent ligands. Results: Bivalent ligands of known dimers of GPCRs, PROTACs and a model bivalent antibody/antigen system were analysed. The tool could rapidly assess the preferred linker length for the different systems and recapitulated the best reported results. In the case of GPCR dimers the results suggest that in some cases these ligands might bind to a secondary binding site at the extracellular entrance (vestibule or allosteric site) instead of the orthosteric binding site. Availability and implementation: Freely accessible from the Molecular Operating Environment svl exchange server (https://svl.chemcomp.com/). Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

ComputersAllosteric SiteBinding SitesLigandsModels, MolecularLigands

Identifiers

PMID29850769
PMCPMC6223368

What OpenQuestion holds

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LicenceCC BY-NC
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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.