Evidence map›Paper›PMID 24900336›Full record

ArticleACS medicinal chemistry letters2011

Target Flexibility in RNA-Ligand Docking Modeled by Elastic Potential Grids.

Dennis M Krüger, Johannes Bergs, Sina Kazemi, Holger Gohlke

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. RLDOCK: A New Method for Predicting RNA-Ligand Interactions.Journal of chemical theory and computation · 2020
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Induced fit docking, and the use of QM/MM methods in docking.Drug discovery today. Technologies · 2013
    Review
  16. Article
  17. Novel insights of structure-based modeling for RNA-targeted drug discovery.Journal of chemical information and modeling · 2012
    Article
  18. RNA-ligand molecular docking: advances and challenges.Wiley interdisciplinary reviews. Computational molecular science
    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

4 authors.

Dennis M KrügerDepartment of Mathematics and Natural Sciences, Institute of Pharmaceutical and Medicinal Chemistry, Heinrich-Heine-University , Universitätsstrasse 1, 40225 Düsseldorf, Germany.
Johannes BergsDepartment of Mathematics and Natural Sciences, Institute of Pharmaceutical and Medicinal Chemistry, Heinrich-Heine-University , Universitätsstrasse 1, 40225 Düsseldorf, Germany.
Sina KazemiDepartment of Mathematics and Natural Sciences, Institute of Pharmaceutical and Medicinal Chemistry, Heinrich-Heine-University , Universitätsstrasse 1, 40225 Düsseldorf, Germany.
Holger GohlkeDepartment of Mathematics and Natural Sciences, Institute of Pharmaceutical and Medicinal Chemistry, Heinrich-Heine-University , Universitätsstrasse 1, 40225 Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The highly flexible nature of RNA provides a formidable challenge for structure-based drug design approaches that target RNA. We introduce an approach for modeling target conformational changes in RNA-ligand docking based on potential grids that are represented as elastic bodies using Navier's equation. This representation provides an accurate and efficient description of RNA-ligand interactions even in the case of a moving RNA structure. When applied to a data set of 17 RNA-ligand complexes, filtered out of the largest validation data set used for RNA-ligand docking so far, the approach is twice as successful as docking into an apo structure and still half as successful as redocking to the holo structure. The approach allows considering RNA movements of up to 6 Å rmsd and is based on a uniform and robust parametrization of the properties of the elastic potential grids, so that the approach is applicable to different RNA-ligand complex classes.

Indexed as

DrugScoreelasticity theoryflexible dockingRNA−ligand interactionsstructure-based drug design

Identifiers

PMID24900336
PMCPMC4018104

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.