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Related Experiment Video

Updated: Jul 19, 2025

Author Spotlight: Characterizing DNA G-Quadruplex by Bis-3-Chloropiperidine Based Chemical Mapping
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G4-QuadScreen: A Computational Tool for Identifying Multi-Target-Directed Anticancer Leads against G-Quadruplex DNA.

Jyotsna Bhat-Ambure1, Pravin Ambure2, Eva Serrano-Candelas2

  • 1MolDrug AI Systems SL, c/Olimpia Arozena Torres, 46018 Valencia, Spain.

Cancers
|August 12, 2023
PubMed
Summary

G4-QuadScreen is a new computational tool that identifies potential drug candidates targeting G-quadruplexes (G4s). It successfully pinpointed several molecules that selectively stabilize G4s and inhibit cancer cell growth.

Keywords:
FID assaysFRET experimentsG4 quadruplexMTT assayscancerdrug designmolecular dockingmulti-tasking QSARvirtual screening

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Area of Science:

  • Computational chemistry
  • Drug discovery
  • Bioinformatics

Background:

  • G-quadruplexes (G4s) are non-canonical DNA structures implicated in various cellular processes, including cancer.
  • Identifying small molecules that interact with and modulate G4 structures is a promising therapeutic strategy.
  • Existing methods for G4-targeting drug discovery can be time-consuming and prone to false positives.

Purpose of the Study:

  • To develop and validate a user-friendly computational tool, G4-QuadScreen, for identifying potential G4-targeting molecules.
  • To predict G4 interaction, stabilization, selectivity, and cytotoxicity using multi-tasking Quantitative Structure-Activity Relationship (QSAR) models.
  • To accelerate the early stages of drug discovery for G4-based therapeutics.

Main Methods:

  • Development of multi-tasking QSAR models using linear discriminant analysis and random forest algorithms.
  • Implementation of virtual screening using the G4-QuadScreen tool.
  • Molecular docking simulations using YASARA and AutoDock-Vina.
  • In vitro validation of G4 activities using FRET melting, Fluorescence Intensity Decay (FID), and cell viability assays.

Main Results:

  • G4-QuadScreen models demonstrated high accuracy (>90% training, >80% external sets) in predicting G4 interactions and related properties.
  • Virtual screening identified ten molecules with the capacity to selectively stabilize multiple G4 structures.
  • Three of the screened molecules exhibited strong inhibitory effects on human cancer cell lines.
  • Experimental validation confirmed the computational predictions for the identified molecules.

Conclusions:

  • G4-QuadScreen is an effective computational tool for accelerating the discovery of novel G4-targeting drug leads.
  • The tool aids in reducing false positive outcomes in the early stages of drug discovery.
  • The identified molecules represent promising candidates for further development as anti-cancer agents targeting G4s.