Evidence map›Paper›PMID 25877490›Full record

ArticleJournal of computer-aided molecular design2015

Computational docking simulations of a DNA-aptamer for argininamide and related ligands.

H Bauke Albada, Eyal Golub, Itamar Willner

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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. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Methods and Applications of In Silico Aptamer Design and Modeling.International journal of molecular sciences · 2020
    Review
  10. Article
  11. Computational and structural biotechnology journal · 2020
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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.

H Bauke AlbadaThe Center for Nanoscience and Nanotechnology, Institute of Chemistry, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Eyal Golub
Itamar Willner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The binding properties of sequence-specific nucleic acids (aptamers) to low-molecular-weight ligands, macromolecules and even cells attract substantial scientific interest. These ligand-DNA complexes found different applications for sensing, nanomedicine, and DNA nanotechnology. Structural information on the aptamer-ligand complexes is, however, scarce, even though it would open-up the possibilities to design novel features in the complexes. In the present study we apply molecular docking simulations to probe the features of an experimentally documented L-argininamide aptamer complex. The docking simulations were performed using AutoDock 4.0 and YASARA Structure software, a well-suited program for following intermolecular interactions and structures of biomolecules, including DNA. We explored the binding features of a DNA aptamer to L-argininamide and to a series of arginine derivatives or arginine-like ligands. We find that the best docking results are obtained after an energy-minimization of the parent ligand-aptamer complexes. The calculated binding energies of all mono-substituted guanidine-containing ligands show a good correlation with the experimentally determined binding constants. The results provide valuable guidelines for the application of docking simulations for the prediction of aptamer-ligand structures, and for the design of novel features of ligand-aptamer complexes.

Indexed as

Aptamers, NucleotideArginineComputer SimulationLigandsMagnetic Resonance SpectroscopyMolecular Docking SimulationSoftwareAptamers, NucleotideargininamideArginineLigands

Identifiers

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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.