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Prediction Binding energies of drug molecules

Background

This study uses quantum chemical calculations (DFT) to predict the binding energies of drug-like small molecules with DNA, aiming to identify interaction sites, evaluate strength, and explore anti-cancer potential. The in silico approach streamlines compound selection, reduces synthesis costs, and shortens development timelines, with results including interaction energy maps and molecular electrostatic potential (MESP) calculations for molecule prioritization.​

Question of Interest

Can we use silico method to predict the relative binding interaction energies with DNA to predict the anti-cancer activities ​

Methods

Computational methods​ of quantum chemical calculations (DFT) to predict the interaction sites as well as interaction strength.​

Results

Interaction studies of small cyclic diamine molecules with G-tetrad

Impact

  • Selected DNA-interacting molecules through in silico screening.​
  • Reduced synthesis costs by prioritizing key compounds.​
  • Shortened development time through streamlined selection.​

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