charlesbj.bsky.social
Investigating protein nanomachines and their dynamics.
ARC DECRA Fellow at Monash University π¦πΊ.
Structural biologist. Author of WIGGLE. He/Him. π³οΈβπ
345 posts
1,398 followers
900 following
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AF truly is amazing - but I disagree re "protein folding". AF does not explain the levinthal paradox for example. Structure prediction, yes solved. Folding, not yet. Deepmind statements otherwise are hype / advertisement.
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Congratulations @cellarchlab.com & @florentwaltz.bsky.social π
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The Nobel is well deserved and these tools are certainly revolutionary - but the protein folding problem is far from solved.
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It just sounds a lot cooler to say "AI has solved X problem" than to say "AI is an enormously powerful tool that enables us to work more efficiently and guide our hypotheses".
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throw*π€¦ββοΈ
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Ta! It really is the perfect summer dish π Really tasty, not too heavy on a hot day, refreshing, and I don't feel guilty going back for more and more. It's also dead easy... Maybe a controversial opinion, but I quite like to through some bocconcini on top as well.
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Maybe Tillandsia recurvata? the flower is very cool!
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βͺThis one doesnβt look like much but itβs dCas9 Suntag labeling of a single gene where you can see both alleles moving in the nucleus of a live neuron π€β¬
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I just finished admiring your work on the mitos... just incredible. Nice work mate :)
I am wondering about lysosomes and whether we can learn anything about the TOR pathway from this data... did you see many LROs?
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Very nice - I hoped this might happen. I notice MPNN struggles with particular targets. In these cases, as an alternative to avoid adversarial sequences, I've been screening relaxed trajectories with Boltz1 or chai1 to recover AF designed sequences that have <2 Γ
RMSD, low PAE etc. Any thoughts?
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Trying to guess your wall papers lol
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JWST?
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This has a nice summary... pubs.acs.org/doi/10.1021/...
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@lorneproteins.bsky.social π
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I told myself that I needed a large enough monitor to look at side chains within the whole complex... I might still need to get something bigger. π
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That will be super useful for small molecule compounds. Can it be extended? Constraining distances between protein chains alone is also very useful (eg when experimental distance constraints are known for a challenging complex).