Miro Astore
@miroastore.bsky.social
420 followers 510 following 20 posts
Flatiron Research Fellow @flatironinst. Studying temperature sensing ion channels with molecular dynamics and cryoEM❄️🔬. @sydney_physics allum. he/him
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Reposted by Miro Astore
olibclarke.bsky.social
This one is a bit of a departure from the usual and definitely a work in progress!

We found that by using ab initio reconstruction at very high res, in very small steps, we could crack some small structures that had eluded us - e.g. 39kDa iPKAc (EMPIAR-10252), below.

Read on for details... 1/x
miroastore.bsky.social
I'm very excited to announce that I've just joined Steve_Bonilla's lab at @rockefelleruniv.bsky.social. With the help of @pilarcossio.bsky.social and colleagues at @flatironinstitute.org. I'll be developing cryoEM into a quantitative method to study RNA biophysics.
Reposted by Miro Astore
selimlab.bsky.social
The results of the first #cryoEM heterogeneity challenge are up on biorxiv!
www.biorxiv.org/content/10.1...
miroastore.bsky.social
This has been so much work from my coauthors Geoff Woollard and David Silva-Sanchez, mentors @sonyahanson.bsky.social
and @pilarcossio.bsky.social , Misha Kopylov at NYSBC, and all the participants who have continuously given us excellent feedback on the study and the manuscript. Thanks everybody!
miroastore.bsky.social
The last metric we used calculates the likelihood that a given ensemble of volumes is contained in a set of images. This one is really exciting because we don't need any ground truth to compare to. We see the same trends between the simulated and experimental datasets.
miroastore.bsky.social
The next is based on optimal transport. By calculating the differences between maps in a submission and the ground truth, we can calculate how close a submission is to the truth. We can also see how far from optimal participants estimated their populations.
miroastore.bsky.social
Now comes the real work. Comparing all this amazing data! We came up with three novel ways of comparing series of volumes. With the first we simply perform PCA on the voxel maps and compare their bases. Turns out to be a super useful way of comparing motions between submissions.
miroastore.bsky.social
We had amazing participation. Almost every method in the literature submitted to this challenge. We've chosen to keep the identity of the submissions anonymous (you'll see them in the manuscript denoted by icecream flavor hehe).
miroastore.bsky.social
We asked each participant to give us two things. 80 volume maps which they thought gave a good representation of the molecular states in the data. And relative populations between those molecular states.
miroastore.bsky.social
That's why we launched this challenge. We made two datasets, one experimental and one simulated. The simulated one was made with structures from molecular dynamics simulations. Here we hid a triple Gaussian for participants to discover. (Movie credit David Herreros).
miroastore.bsky.social
There has been an explosion of methods to determine molecular ensembles from single particle cryo-EM datasets. However, these methods all use totally different algorithms and it's currently unknown how to assess their accuracy without ground truth structures to compare with.
miroastore.bsky.social
That's a wrap! The results of the first #cryoEM heterogeneity challenge are up on biorxiv!
biorxiv.org/content/10.110
biorxiv.org
miroastore.bsky.social
Super excited for this one! Great job guys.
pilarcossio.bsky.social
Check out our recent preprint 👇on counting particles to estimate populations in #cryoem: noise can bias the estimates; with Luke Evans & a great team.
biorxiv-biophys.bsky.social
Counting particles could give wrong probabilities in Cryo-Electron Microscopy https://www.biorxiv.org/content/10.1101/2025.03.27.644168v1
Reposted by Miro Astore
landerlab.bsky.social
That’s a wrap on the 2025 Cold Spring Harbor CryoEM course! Huge thanks to the amazing students for your enthusiasm, the TAs for your dedication, and the invited lecturers for sharing your expertise. Keep pushing the boundaries of single particle EM - excited to see what you all accomplish next!
miroastore.bsky.social
Watch out world. I can pipette now.
landerlab.bsky.social
We’ve seen some good grids and some bad at the CSHL #CryoEM course, but I think we all agree that @miroastore.bsky.social should be awarded the 2025 “worst grid” award. But for someone who never held a pipette prior to this course he also deserves the “most improved” award - keep it up Miro!
Reposted by Miro Astore
landerlab.bsky.social
Saturday night and the lab is in full swing as the participants of the CSHL #CryoEM course prepare for the final competition - solve the structure of a mystery protein in less than 4 hours.
miroastore.bsky.social
Come work in a great place with great people. Loads of fun projects and ideas.
sonyahanson.bsky.social
We are hiring a Flatiron Research Fellow in the Structural Molecular Biophysics team! Experience with cryoEM and/or membrane protein simulations are a plus! Happy to chat in person with anyone at #bps2025 ! apply.interfolio.com/160227
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Reposted by Miro Astore
rcsbpdb.bsky.social
Join leaders from CCDC, ICDD, ICSD, and RCSB PDB on February 12 to learn how data management impacts future research
register.gotowebinar...