Evidence map›Paper›PMID 32545835›Full record

ReviewMolecules (Basel, Switzerland)2020

How 'Protein-Docking' Translates into the New Emerging Field of Docking Small Molecules to Nucleic Acids?

Francesca Tessaro, Leonardo Scapozza

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

19 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in pharmacology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. HIV-1 Transcription Inhibition Using Small RNA-Binding Molecules.Pharmaceuticals (Basel, Switzerland) · 2023
    Article
  16. Article
  17. Review
  18. Review
  19. 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

2 authors at 1 institution in 1 country.

Francesca TessaroPharmaceutical Biochemistry, School of Pharmaceutical Sciences, University of Geneva CMU, Rue Michel-Servet 1, 1211 Geneva 4, Switzerland.ORCID 0000-0001-8672-885X
Leonardo ScapozzaPharmaceutical Biochemistry, School of Pharmaceutical Sciences, University of Geneva CMU, Rue Michel-Servet 1, 1211 Geneva 4, Switzerland.ORCID 0000-0003-1079-648X
University of Geneva · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung CRSI33_130016: LS
6 · The paper itself

Abstract

In this review, we retraced the '40-year evolution' of molecular docking algorithms. Over the course of the years, their development allowed to progress from the so-called 'rigid-docking' searching methods to the more sophisticated 'semi-flexible' and 'flexible docking' algorithms. Together with the advancement of computing architecture and power, molecular docking's applications also exponentially increased, from a single-ligand binding calculation to large screening and polypharmacology profiles. Recently targeting nucleic acids with small molecules has emerged as a valuable therapeutic strategy especially for cancer treatment, along with bacterial and viral infections. For example, therapeutic intervention at the mRNA level allows to overcome the problematic of undruggable proteins without modifying the genome. Despite the promising therapeutic potential of nucleic acids, molecular docking programs have been optimized mostly for proteins. Here, we have analyzed literature data on nucleic acid to benchmark some of the widely used docking programs. Finally, the comparison between proteins and nucleic acid targets docking highlighted similarity and differences, which are intrinsically related to their chemical and structural nature.

Indexed as

AlgorithmsMolecular Docking SimulationNucleic Acid ConformationRNA, MessengerRNA, Messengermolecular dockingnucleic acidsstructure-based computational methods

Identifiers

PMID32545835
PMCPMC7355999
OpenAlexW3035274855

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.