Evidence map›Paper›PMID 23671332›Full record

ArticleNucleic acids research2013

MoMA-LigPath: a web server to simulate protein-ligand unbinding.

Didier Devaurs, Léa Bouard, Marc Vaisset, Christophe Zanon, Ibrahim Al-Bluwi, Romain Iehl, Thierry Siméon, Juan Cortés

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web.Computational and structural biotechnology journal · 2022
    Article
  6. Review
  7. A Robotics-Inspired Screening Algorithm for Molecular Caging Prediction.Journal of chemical information and modeling · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.International journal of computational biology and drug design · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

8 authors.

Didier DevaursCNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France.
Léa Bouard
Marc Vaisset
Christophe Zanon
Ibrahim Al-Bluwi
Romain Iehl
Thierry Siméon
Juan Cortés

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-ligand interactions taking place far away from the active site, during ligand binding or release, may determine molecular specificity and activity. However, obtaining information about these interactions with experimental or computational methods remains difficult. The computational tool presented in this article, MoMA-LigPath, is based on a mechanistic representation of the molecular system, considering partial flexibility, and on the application of a robotics-inspired algorithm to explore the conformational space. Such a purely geometric approach, together with the efficiency of the exploration algorithm, enables the simulation of ligand unbinding within short computing time. Ligand unbinding pathways generated by MoMA-LigPath are a first approximation that can provide useful information about protein-ligand interactions. When needed, this approximation can be subsequently refined and analyzed using state-of-the-art energy models and molecular modeling methods. MoMA-LigPath is available at http://moma.laas.fr. The web server is free and open to all users, with no login requirement.

Indexed as

SoftwareAlgorithmsBinding SitesComputer SimulationInsulinInternetLigandsModels, MolecularPhenolsProtein ConformationProteinsInsulinLigandsPhenolsProteins

Identifiers

PMID23671332
PMCPMC3692135

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.