Selected article for: "long simulation and machine learning"

Author: Ansari, Narjes; Rizzi, Valerio; Carloni, Paolo; Parrinello, Michele
Title: Water-Triggered, Irreversible Conformational Change of SARS-CoV-2 Main Protease on Passing from the Solid State to Aqueous Solution
  • Cord-id: 2fq4qsn2
  • Document date: 2021_8_16
  • ID: 2fq4qsn2
    Snippet: [Image: see text] The main protease from SARS-CoV-2 is a homodimer. Yet, a recent 0.1-ms-long molecular dynamics simulation performed by D. E. Shaw’s research group shows that it readily undergoes a symmetry-breaking event on passing from the solid state to aqueous solution. As a result, the subunits present distinct conformations of the binding pocket. By analyzing this long simulation, we uncover a previously unrecognized role of water molecules in triggering the transition. Interestingly, e
    Document: [Image: see text] The main protease from SARS-CoV-2 is a homodimer. Yet, a recent 0.1-ms-long molecular dynamics simulation performed by D. E. Shaw’s research group shows that it readily undergoes a symmetry-breaking event on passing from the solid state to aqueous solution. As a result, the subunits present distinct conformations of the binding pocket. By analyzing this long simulation, we uncover a previously unrecognized role of water molecules in triggering the transition. Interestingly, each subunit presents a different collection of long-lived water molecules. Enhanced sampling simulations performed here, along with machine learning approaches, further establish that the transition to the asymmetric state is essentially irreversible.

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