Charles Bayly-Jones
banner
charlesbj.bsky.social
Charles Bayly-Jones
@charlesbj.bsky.social
Investigating protein nanomachines and their dynamics.
ARC DECRA Fellow at Monash University 🇦🇺.

Structural biologist. Author of WIGGLE. He/Him. 🏳️‍🌈
Awesome! Such good timing, I can use it today 😁😁 what's your opinion on CTF, better with or without?
October 23, 2025 at 10:06 PM
Editors are also responsible. Anecdotally I have heard and experienced situations where reviewers provide very strong advice against publishing in current forms, yet this is ignored.
October 15, 2025 at 10:39 PM
Reposted by Charles Bayly-Jones
I guess… situations like this are where I really miss seeing the peer review file. Just baffling that this made the cut at Structure
October 15, 2025 at 1:02 PM
My first thought is masked versus unmasked.
October 11, 2025 at 6:00 AM
Oh that's surprising. So no sig. improvement in reconstruction quality? Or no sig. improvement in the computational effciency?
September 18, 2025 at 1:52 AM
Cool work! I'm curious you do 1.5º/2.5º searches - have you (or others) experimented with more course searches initially in a branch&bound manner (to quickly find particles) then do very fine 2DTM searches around these initial hits? I.e. to give finer granularity to improve reconstruction?
September 17, 2025 at 11:59 PM
What is strange is that standard refinements fail... I suppose these are usually limited to the low-pass filter defined by the current GS-FSC, whereas ab initio uses HR frequencies more quickly (and may be less restricted). Pretty neat stuff Oli!
September 17, 2025 at 10:55 PM
Very nice - thanks for following up. Intuitively a large particle will have a broader range of alignable frequencies, whereas a small particle will necessarily have less. So it makes sense that using a larger fraction of available frequences for alignment ought to help, as long as the SNR is good.
September 17, 2025 at 10:55 PM
Very nice. Q, obviously you have more averaging power or twice as much data in HR-HAIR (akin to cisTEM refinement) compared to a normal half-map refinement which fails. If you half the data and re-run HR-HAIR, does it still succeed where normal refinement fails?
September 13, 2025 at 5:34 AM