Data analyses using FRETpredict

  • Daniele Montepietra (Ophavsmand)
  • Giulio Tesei (Ophavsmand)
  • Robert B. Best (Ophavsmand)
  • Kresten Lindorff-Larsen (Ophavsmand)

Data set

Beskrivelse

This repository contains Python code, Jupyter Notebooks, and data for reproducing the results presented in the manuscript FRETpredict: A Python package for FRET efficiency predictions using rotamer libraries
Dato for tilgængelighed2024
ForlagZenodo

Citationsformater