Evidence map›Paper›PMID 34948269›Full record

ArticleInternational journal of molecular sciences2021

Dynophore-Based Approach in Virtual Screening: A Case of Human DNA Topoisomerase IIα.

Matej Janežič, Katja Valjavec, Kaja Bergant Loboda, Barbara Herlah, Iza Ogris, Mirijam Kozorog, Marjetka Podobnik, Simona Golič Grdadolnik, Gerhard Wolber, Andrej Perdih

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Pharmacophore modeling: advances and pitfalls.Frontiers in molecular biosciences · 2025
    Review
  3. Article
  4. Simulation- and AI-directed optimization of 4,6-substituted 1,3,5-triazin-2(1Computational and structural biotechnology journal · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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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

10 authors at 4 institutions in 3 countries.

Matej JanežičNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.
Katja ValjavecNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.
Kaja Bergant LobodaNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.
Barbara HerlahNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-5585-2396
Iza OgrisNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.
Mirijam KozorogNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-5379-8517
Marjetka PodobnikNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0001-6786-9737
Simona Golič GrdadolnikNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-0873-9593
Gerhard WolberInstitute of Pharmacy, Freie Universität Berlin, Königin-Luise-Straße 2-4, 14195 Berlin, Germany.ORCID 0000-0002-5344-0048
Andrej PerdihNational Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-6645-9231
National Institute of Chemistry · SIUniversity of Ljubljana · SIFreie Universität Berlin · DERIKEN Center for Biosystems Dynamics Research · JP

Funding

Slovenian Research Agency P1-0010Slovenian Research Agency P1-0012Slovenian Research Agency P1-0391
6 · The paper itself

Abstract

In this study, we utilized human DNA topoisomerase IIα as a model target to outline a dynophore-based approach to catalytic inhibitor design. Based on MD simulations of a known catalytic inhibitor and the native ATP ligand analog, AMP-PNP, we derived a joint dynophore model that supplements the static structure-based-pharmacophore information with a dynamic component. Subsequently, derived pharmacophore models were employed in a virtual screening campaign of a library of natural compounds. Experimental evaluation identified flavonoid compounds with promising topoisomerase IIα catalytic inhibition and binding studies confirmed interaction with the ATPase domain. We constructed a binding model through docking and extensively investigated it with molecular dynamics MD simulations, essential dynamics, and MM-GBSA free energy calculations, thus reconnecting the new results to the initial dynophore-based screening model. We not only demonstrate a new design strategy that incorporates a dynamic component of molecular recognition, but also highlight new derivates in the established flavonoid class of topoisomerase II inhibitors.

Indexed as

Antigens, NeoplasmAntineoplastic AgentsBinding SitesCatalytic DomainDNA-Binding ProteinsDNA Topoisomerases, Type IIDrug DesignHumansMolecular Docking SimulationStructure-Activity RelationshipTopoisomerase II InhibitorsAntigens, NeoplasmAntineoplastic AgentsDNA-Binding ProteinsDNA Topoisomerases, Type IITopoisomerase II Inhibitorscancer researchcatalytic inhibitorsdrug designdynophore modelshuman DNA topoisomerase IIαmolecular simulations

Identifiers

PMID34948269
PMCPMC8703789
OpenAlexW4200397150

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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.