Based at CIMR, University of Cambridge.
Posts usually about science.
Listen, I get that UKRI wants to pivot. But killing both at once is devastating.
Let's hope at least one opens by summer... #AcademicSky
+ Developed the Richardson (ribbon) diagram to represent proteins' 3D structure (becoming a standard representation for protein structures)
+ MacArthur Fellow, 1985
+ Elected, Nat'l Academy of Sciences, 1991
+ President, Biophysical Society, 2012
#WomenInSTEM
It feels like it should be a major news story
It feels like it should be a major news story
Learn more here: buff.ly/bgJYF9N
#SBGrid #SBGridSoftware #StructuralBiology
Learn more here: buff.ly/bgJYF9N
#SBGrid #SBGridSoftware #StructuralBiology
Learn more here: buff.ly/bgJYF9N
#SBGrid #SBGridSoftware #StructuralBiology
View all of the Proceedings at journals.iucr.org/d/services/ccpem
View all of the Proceedings at journals.iucr.org/d/services/ccpem
Offers lectures and tutorials on using Phenix for automated macromolecular structure determination and validation from xtal and cryoEM data, integrating predicted models like AlphaFold
event.fourwaves.com/...
Offers lectures and tutorials on using Phenix for automated macromolecular structure determination and validation from xtal and cryoEM data, integrating predicted models like AlphaFold
event.fourwaves.com/...
Offers lectures and tutorials on using Phenix for automated macromolecular structure determination and validation from xtal and cryoEM data, integrating predicted models like AlphaFold
event.fourwaves.com/...
The cover highlights a data survey of the PDB and CSD for macromolecular and ligand structures that have been determined at elevated temperatures. Read more at doi.org/10.1107/S205...
The cover highlights a data survey of the PDB and CSD for macromolecular and ligand structures that have been determined at elevated temperatures. Read more at doi.org/10.1107/S205...
We tackle practical hurdles of Optimal Transport (OT) loss—differentiability, cost & noise sensitivity—make it a feasible inference workhorse.
W/ G. Woollard, D. Herreros, @pilarcossio.bsky.social, K. Dao Duc 🧵👇 (1/9)
We tackle practical hurdles of Optimal Transport (OT) loss—differentiability, cost & noise sensitivity—make it a feasible inference workhorse.
W/ G. Woollard, D. Herreros, @pilarcossio.bsky.social, K. Dao Duc 🧵👇 (1/9)
Something really cool happened to me this year!
@HRBridges re-processed a #CryoEM dataset from some previous work of mine and colleagues (publicly available as EMPIAR-10739; see quoted post below for a summary of this work). She […]
Something really cool happened to me this year!
@HRBridges re-processed a #CryoEM dataset from some previous work of mine and colleagues (publicly available as EMPIAR-10739; see quoted post below for a summary of this work). She […]
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academic.oup.com/nar/advance-...
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academic.oup.com/nar/advance-...
www.bbc.com/news/article...
www.bbc.com/news/article...
Funds are available to support students, early-career researchers, and participants from under-resourced institutions and/or developing countries.
Details at event.fourwaves.com/...
Funds are available to support students, early-career researchers, and participants from under-resourced institutions and/or developing countries.
Details at event.fourwaves.com/...
From Structural Biology to Structural Cell Biology with the aid of Machine Learning
📅 May 31–June 9, 2026
⏳ Deadline: Dec 7, 2025
🌐 Info: crystalerice.org/2026
From Structural Biology to Structural Cell Biology with the aid of Machine Learning
📅 May 31–June 9, 2026
⏳ Deadline: Dec 7, 2025
🌐 Info: crystalerice.org/2026