A statistical approach to detect protein complexes at X-ray free electron laser facilities
Artikel i vetenskaplig tidskrift, 2018

The Flash X-ray Imaging (FXI) technique, under development at X-ray free electron lasers (XFEL), aims to achieve structure determination based on diffraction from individual macromolecular complexes. We report an FXI study on the first protein complex-RNA polymerase II-ever injected at an XFEL. A successful 3D reconstruction requires a high number of observations of the sample in various orientations. The measured diffraction signal for many shots can be comparable to background. Here we present a robust and highly sensitive hit-identification method based on automated modeling of beamline background through photon statistics. It can operate at controlled false positive hit-rate of 3 x10(-5). We demonstrate its power in determining particle hits and validate our findings against an independent hit-identification approach based on ion time-of-flight spectra. We also validate the advantages of our method over simpler hit-identification schemes via tests on other samples and using computer simulations, showing a doubled hit-identification power.

Författare

Alberto Pietrini

Uppsala universitet

Johan Bielecki

Uppsala universitet

European XFEL

Nicusor Timneanu

Uppsala universitet

Max F. Hantke

Uppsala universitet

University of Oxford

Jakob Andreasson

Chalmers, Fysik, Kondenserade materiens fysik

Uppsala universitet

Czech Academy of Sciences

N. Duane Loh

Universiti Kebangsaan Singapura (NUS)

Daniel S. D. Larsson

Uppsala universitet

Sebastien Boutet

SLAC Natl Accelerator Lab, Linac Coherent Light Source, 2575 Sand Hill Rd

Janos Hajdu

Czech Academy of Sciences

Uppsala universitet

Filipe R. N. C. Maia

Uppsala universitet

Carl Nettelblad

Uppsala universitet

COMMUNICATIONS PHYSICS

2399-3650 (ISSN)

Vol. 1 92

Ämneskategorier

Acceleratorfysik och instrumentering

Atom- och molekylfysik och optik

Bioinformatik (beräkningsbiologi)

DOI

10.1038/s42005-018-0092-6

Mer information

Senast uppdaterat

2019-11-03