Login / Signup

Metadynamic metainference: Convergence towards force field independent structural ensembles of a disordered peptide.

Thomas LöhrAlexander JussupowCarlo Camilloni
Published in: The Journal of chemical physics (2018)
Metadynamic metainference has been recently introduced as a theoretical framework to determine structural ensembles by combining and weighting their noise multiple sources of experimental data with molecular mechanics force fields and metadynamics simulations. Here we build upon these initial developments to further extend and streamline the computational approach. We also show that metadynamic metainference can actually determine a structural ensemble for a disordered peptide that is essentially independent from the employed force field. We further show that it is possible to use a very computationally efficient implicit solvent force field in the place of very expensive state-of-the-art explicit solvent ones without a significant loss in accuracy.
Keyphrases
  • single molecule
  • ionic liquid
  • electronic health record
  • molecular dynamics
  • air pollution
  • big data
  • convolutional neural network
  • solar cells
  • data analysis