Evidence map›Paper›PMID 30150587›Full record

ReviewBiomolecules2018

Molecular Modeling Applied to Nucleic Acid-Based Molecule Development.

Arne Krüger, Flávia M Zimbres, Thales Kronenberger, Carsten Wrenger

Abstract readReview
In one paragraph

Review in Biomolecules, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. In Silico Study of Anti-CD40 DNA Aptamers as Vaccine Adjuvants for Chickens.International journal of molecular sciences · 2026
    Article
  2. Research in the Field of Drug Design and Development.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
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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.

Arne KrügerUnit for Drug Discovery, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP 05508-000, Brazil. krueger.arne@icb.usp.br.ORCID 0000-0002-5531-9508
Flávia M ZimbresDepartment of Biochemistry and Molecular Biology and Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA. flavia.zimbres@uga.edu.
Thales KronenbergerDepartment of Internal Medicine VIII, University Hospital of Tübingen, 72076 Tübingen, Germany. kronenberger7@gmail.com.ORCID 0000-0001-6933-7590
Carsten WrengerUnit for Drug Discovery, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP 05508-000, Brazil. cwrenger@icb.usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular modeling by means of docking and molecular dynamics (MD) has become an integral part of early drug discovery projects, enabling the screening and enrichment of large libraries of small molecules. In the past decades, special emphasis was drawn to nucleic acid (NA)-based molecules in the fields of therapy, diagnosis, and drug delivery. Research has increased dramatically with the advent of the SELEX (systematic evolution of ligands by exponential enrichment) technique, which results in single-stranded DNA or RNA sequences that bind with high affinity and specificity to their targets. Herein, we discuss the role and contribution of docking and MD to the development and optimization of new nucleic acid-based molecules. This review focuses on the different approaches currently available for molecular modeling applied to NA interaction with proteins. We discuss topics ranging from structure prediction to docking and MD, highlighting their main advantages and limitations and the influence of flexibility on their calculations.

Indexed as

Models, MolecularAnimalsDNADrug DiscoveryHumansRNADNARNAaptamersdockingmolecular dynamicsnucleic acids

Identifiers

PMID30150587
PMCPMC6163985

What OpenQuestion holds

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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.