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Molecular dynamics simulations for the structure-based drug design: targeting small-GTPases proteins.

Angela PariseSofia CrescaAlessandra Magistrato
Published in: Expert opinion on drug discovery (2024)
The application of MD simulations to small-GTPases exemplifies the role of MD simulations in the structure-based drug design process for challenging biomolecular targets. Furthermore, AI and machine learning-enhanced MD simulations, coupled with the upcoming power of quantum computing, are promising instruments to target elusive small-GTPases mutations and splice variants. This powerful synergy will aid in developing innovative therapeutic strategies associated to small-GTPases deregulation, which could potentially be used for personalized therapies and in a tissue-agnostic manner to treat tumors with mutations in small-GTPases.
Keyphrases
  • molecular dynamics
  • molecular dynamics simulations
  • machine learning
  • monte carlo
  • gene expression
  • cancer therapy
  • big data
  • adverse drug
  • drug induced
  • electronic health record