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M3: an integrative framework for structure determination of molecular machines.

Ezgi KaracaJoão P G L M RodriguesAndrea GraziadeiAlexandre M J J BonvinTeresa Carlomagno
Published in: Nature methods (2017)
We present a broadly applicable, user-friendly protocol that incorporates sparse and hybrid experimental data to calculate quasi-atomic-resolution structures of molecular machines. The protocol uses the HADDOCK framework, accounts for extensive structural rearrangements both at the domain and atomic levels and accepts input from all structural and biochemical experiments whose data can be translated into interatomic distances and/or molecular shapes.
Keyphrases
  • single molecule
  • randomized controlled trial
  • electronic health record
  • big data
  • high resolution
  • machine learning
  • mass spectrometry
  • solid state
  • liquid chromatography