“AlphaFold predictions are valuable hypotheses, and accelerate but do not replace experimental structure determination” has been updated
Spelling out explicitly how such predictions should fit into structural biology workflows
biorxiv.org/content/10.110…
ISCB Academy 3D-SIG webinar - Substructural similarity searching: having more fun(ctions) with increasing biological structure data
youtu.be/a59_zU6J-7M
Substructure searches for function annotation of AlphaFold computed structure models.
Did you know BACITRACIN was named by Balbina Johnson, lab supervisor at Columbia Med School, since the producing (Baci)llus was isolated from compound fracture of a child Margaret (Trac)y where it was
(in)hibiting pathogenic bacteria and helping her overcoming septic infection?
One of the most iconic #PDB50structures is the ribosome, the molecular machine responsible for protein production, which earned Ramakrishnan, Steitz and Yonath the 2009 Nobel Prize in Chemistry. View the bacterial ribosome: PDBe.org/7k00/3d
when building MEM-108 Fab, I could actually “see” some side chains in CDRs, such as a big most-likely-Trp and bumpy Pro. I chose not to build them, since there was say ~1% chance that my eyes were wrong. There may be similar cases around with natural samples. What would you do?
goodreads.com/book/show/5812…
"A Consequence of Sequence" - published by Penguin Random House is now available for pre-order and should be available worldwide from 11 August 2021... and it's not a bioinformatics textbook, in case you were wondering.
bit.ly/3igcvqH
"A Consequence of Sequence" - published by Penguin Random House is now available for pre-order and should be available worldwide from 11 August 2021... and it's not a bioinformatics textbook, in case you were wondering.
We frequently laud scientists based on the numbers of papers they’ve published and h-indices. This makes me curious. When you hear of someone publishing >50 papers a year, what is your first instinct/assumption? Is it mad respect? Or something else?
Brief update on some exciting progress on #AlphaFold! We’ve been heads down working flat out on our full methods paper (currently under review) with accompanying open source code and on providing broad free access to AlphaFold for the scientific community. More very soon!
Comment from a reviewer: "..."...Most likely, there is some difference in XXXX, but there is no need to explain this difference, weird stuff happens with RNA all the time..." - wished more reviewers appreciate that weird stuff happens with RNA all the time a lot more...
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