Evidence map›Paper›PMID 33182550›Full record

ReviewInternational journal of molecular sciences2020

Methods and Applications of In Silico Aptamer Design and Modeling.

Andrey A Buglak, Alexey V Samokhvalov, Anatoly V Zherdev, Boris B Dzantiev

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
6.3field-weighted citation impact, top 2% 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

61 citing papers in PubMed, 139 citations in OpenAlex.

  1. An electrochemical aptasensor for determining fumonisin BFood chemistry. Molecular sciences · 2026
    Article
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  5. Article
  6. Review
  7. Article
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  9. Spiegelmer Aptamers: Innovative Approach in Breast Cancer.Breast cancer : basic and clinical research · 2026
    Review
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  11. Review
  12. Article
  13. Article
  14. Review
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  17. Using aptamers for targeted delivery of RNA therapies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
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  19. Review
  20. Review

1 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Andrey A BuglakA. N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, Leninsky prospect 33, 119071 Moscow, Russia.ORCID 0000-0002-6405-6594
Alexey V SamokhvalovA. N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, Leninsky prospect 33, 119071 Moscow, Russia.ORCID 0000-0002-0612-5440
Anatoly V ZherdevA. N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, Leninsky prospect 33, 119071 Moscow, Russia.ORCID 0000-0003-3008-2839
Boris B DzantievA. N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, Leninsky prospect 33, 119071 Moscow, Russia.ORCID 0000-0003-4008-4918
A N Bach Institute of Biochemistry · RUSt Petersburg University · RU

Funding

Russian Science Foundation 20-74-00112
6 · The paper itself

Abstract

Aptamers are nucleic acid analogues of antibodies with high affinity to different targets, such as cells, viruses, proteins, inorganic materials, and coenzymes. Empirical approaches allow the design of in vitro aptamers that bind particularly to a target molecule with high affinity and selectivity. Theoretical methods allow significant expansion of the possibilities of aptamer design. In this study, we review theoretical and joint theoretical-experimental studies dedicated to aptamer design and modeling. We consider aptamers with different targets, such as proteins, antibiotics, organophosphates, nucleobases, amino acids, and drugs. During nucleic acid modeling and in silico design, a full set of in silico methods can be applied, such as docking, molecular dynamics (MD), and statistical analysis. The typical modeling workflow starts with structure prediction. Then, docking of target and aptamer is performed. Next, MD simulations are performed, which allows for an evaluation of the stability of aptamer/ligand complexes and determination of the binding energies with higher accuracy. Then, aptamer/ligand interactions are analyzed, and mutations of studied aptamers made. Subsequently, the whole procedure of molecular modeling can be reiterated. Thus, the interactions between aptamers and their ligands are complex and difficult to understand using only experimental approaches. Docking and MD are irreplaceable when aptamers are studied in silico.

Indexed as

Aptamers, NucleotideAnti-Bacterial AgentsComputer SimulationDirected Molecular EvolutionDrug DesignHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationOrganophosphatesProteinsSELEX Aptamer TechniqueAnti-Bacterial AgentsAptamers, NucleotideLigandsOrganophosphatesProteinsaptamersdockingin silico designmolecular dynamicsmolecular modeling

Identifiers

PMID33182550
PMCPMC7698023
OpenAlexW3099560547

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.