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Molecular Simulations Identify Binding Poses and Approximate Affinities of Stapled α-Helical Peptides to MDM2 and MDMX.

Joseph A MorroneAlberto PerezQiaolin DengSookhee N HaM Katharine HollowayTomi K SawyerBradley S SherborneFrank K BrownKen A Dill
Published in: Journal of chemical theory and computation (2017)
Traditionally, computing the binding affinities of proteins to even relatively small and rigid ligands by free-energy methods has been challenging due to large computational costs and significant errors. Here, we apply a new molecular simulation acceleration method called MELD (Modeling by Employing Limited Data) to study the binding of stapled α-helical peptides to the MDM2 and MDMX proteins. We employ free-energy-based molecular dynamics simulations (MELD-MD) to identify binding poses and calculate binding affinities. Even though stapled peptides are larger and more complex than most protein ligands, the MELD-MD simulations can identify relevant binding poses and compute relative binding affinities. MELD-MD appears to be a promising method for computing the binding properties of peptide ligands with proteins.
Keyphrases
  • binding protein
  • molecular dynamics simulations
  • dna binding
  • molecular dynamics
  • amino acid
  • transcription factor
  • single molecule
  • electronic health record
  • deep learning