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Molecular Dynamics and Its Significance in Drug Discovery

  • Mukesh Kumar,
  • Manish Kumar Tripathi,
  • Punit Kaur

摘要

Molecular dynamics (MD) simulation is a very effective method routinely used in drug discovery. The primary benefit lies in its explicit handling of entropic effects and structural flexibility. This method provides detailed insights into the protein-drug/ligand interactions as well as information about the protein dynamics. Improved algorithms and hardware architectures enable a more precise approximation of the thermodynamics and kinetics related to drug-target recognition and binding. This chapter briefly overviews MD simulation and the different algorithms used during the simulation process. Finally, we have discussed the role of MD simulations in various methods, such as generating conformational ensembles, optimizing small molecule structures, and locating drug binding sites on target proteins in order to prepare them for high-throughput virtual screening.