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FRETpredict: A Python package for FRET efficiency predictions using rotamer libraries.

Daniele MontepietraGiulio TeseiJoão Miguel MartinsMicha B A KunzeRobert B BestKresten Lindorff-Larsen
Published in: bioRxiv : the preprint server for biology (2023)
We present FRETpredict, an open-source software to calculate FRET observables from protein structures. Using a previously developed Rotamer Library Approach, FRETpredict helps place multiple conformations of the selected FRET probes at the labeled sites, and use these to calculate FRET efficiencies. Through several case studies, we illustrate the ability of FRETpredict to interpret experimental results and validate protein conformations. We also explain a methodology for generating new rotamer libraries of FRET probes of interest.
Keyphrases
  • single molecule
  • living cells
  • fluorescent probe
  • energy transfer
  • protein protein
  • small molecule
  • binding protein
  • amino acid
  • high resolution
  • data analysis