Samuel Haysom
@shaysom.bsky.social
Structural biologist at Nxera Pharma | CryoEM | drug discovery | GPCRs | in silico protein design
Also my experience. Below 2.2 I see the occasional example. At 2 A it starts to become very noticeable.
December 5, 2025 at 10:18 AM
Also my experience. Below 2.2 I see the occasional example. At 2 A it starts to become very noticeable.
Reposted by Samuel Haysom
Berks and @smlea.bsky.social labs also found yet a different BAM architecture in Flavobacterium johnsoniae, another member of Bacteroidota.
doi.org/10.1038/s415...
doi.org/10.1038/s415...
A new paradigm for outer membrane protein biogenesis in the Bacteroidota - Nature
Structural and biochemical studies of the β-barrel-assembly machinery from Flavobacterium johnsoniae reveal a subunit composition and assembly that are distinct from those of the canonical Escherichia coli complex.
doi.org
October 2, 2025 at 6:20 AM
Berks and @smlea.bsky.social labs also found yet a different BAM architecture in Flavobacterium johnsoniae, another member of Bacteroidota.
doi.org/10.1038/s415...
doi.org/10.1038/s415...
Any chance this will be recorded?
September 11, 2025 at 9:37 AM
Any chance this will be recorded?
The contrast thing is interesting, in our samples (GPCRs) our in house data (Glacios F4i) often has worse orientations than data collected on the same grids on Krios’s with energy filters. Thinking the higher contrast/signal from the EF may helping with recovery of the rarer views
May 17, 2025 at 11:03 AM
The contrast thing is interesting, in our samples (GPCRs) our in house data (Glacios F4i) often has worse orientations than data collected on the same grids on Krios’s with energy filters. Thinking the higher contrast/signal from the EF may helping with recovery of the rarer views
Very interesting that they actually got better results with orientation rebalancing when they reject particles randomly rather than by a specific metric (3D alignments etc.). Will definitely have to start testing that in my data
May 17, 2025 at 10:48 AM
Very interesting that they actually got better results with orientation rebalancing when they reject particles randomly rather than by a specific metric (3D alignments etc.). Will definitely have to start testing that in my data