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Analysis of P-Glycoprotein Transport Cycle Reveals a New Way to Identify Efflux Inhibitors.

Tatyana A GrigorevaSvetlana V VoronaDaria S NovikovaVyacheslav G Tribulovich
Published in: ACS omega (2022)
P-glycoprotein (P-gp) is found to be of considerable interest for the design of drugs capable of treating chemoresistant tumors. This transporter is an interesting target for which an efficient approach has not yet been developed in terms of computer simulation. In this work, we use a combination of docking, molecular dynamics, and metadynamics to fully explore the states that occur during the capture of a ligand and subsequent efflux by P-gp. The proposed approach allowed us to substantiate a number of experimentally established facts, as well as to develop a new criterion for identifying potential P-gp inhibitors.
Keyphrases
  • molecular dynamics
  • density functional theory
  • deep learning
  • machine learning
  • human health
  • molecular dynamics simulations