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

  • Joseph A. Morrone
  • , Alberto Perez
  • , Qiaolin Deng
  • , Sookhee N. Ha
  • , M. Katharine Holloway
  • , Tomi K. Sawyer
  • , Bradley S. Sherborne
  • , Frank K. Brown
  • , Ken A. Dill

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)863-869
Number of pages7
JournalJournal of Chemical Theory and Computation
Volume13
Issue number2
DOIs
StatePublished - Feb 14 2017

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