Advertisement · 728 × 90

Posts by Sarah Alamdari

Preview
Closing the loop: Experimentally validated methods in artificial intelligence–driven protein design Artificial intelligence (AI) has reshaped protein design by enabling models trained on large-scale sequence and structure data to generate proteins wi…

[Review] Closing the loop: Experimentally validated methods in artificial intelligence–driven protein design by @kosonocky.bsky.social @sarahalamdari.bsky.social @kevinkaichuang.bsky.social & @avapamini.bsky.social

www.sciencedirect.com/science/arti...

2 days ago 8 3 0 0
Post image Post image

Have you wondered what the wet lab success rates are for current AI-driven protein design models? Look no further!

In our new review, @kevinkaichuang.bsky.social
@avapamini.bsky.social, @sarahalamdari.bsky.social, and I report wet lab success rates for *over 200* different protein design tasks 🧬💻

2 days ago 32 14 1 0
Preview
Peer Influence Can Make or Break Your AI Rollout AI adoption stalls not because of weak tools or insufficient training, but because learning remains invisible. Generative AI requires employees to redesign their own workflows, and in uncertain enviro...

New article from me and collaborators just dropped.

hbr.org/2026/03/peer...

1 month ago 11 3 0 0

Five years ago, we released FLIP. The core question was: can ML models for protein fitness prediction generalize in the ways that actually matter for protein engineering, i.e. low data, extrapolation to more mutations, out-of-distribution sequences?

1 month ago 4 5 2 0
Post image

We made FLIP2, a protein fitness benchmark spanning seven new datasets, including enzymes, protein-protein interactions, and light-sensitive proteins, as well as splits that measure generalization relevant to real-world protein engineering campaigns.

1 month ago 52 15 1 1
Preview
Multiple protein structure alignment at scale with FoldMason Protein structure is conserved beyond sequence, making multiple structural alignment (MSTA) essential for analyzing distantly related proteins. Computational prediction methods have vastly extended ou...

FoldMason is out now in @science.org. It generates accurate multiple structure alignments for thousands of protein structures in seconds. Great work by Cameron L. M. Gilchrist and @milot.bsky.social.
📄 www.science.org/doi/10.1126/...
🌐 search.foldseek.com/foldmason
💾 github.com/steineggerla...

2 months ago 301 147 4 3
Post image

For no reason, I remembered today that I too once got to take a picture holding Nobel Prize that I didn't earn

3 months ago 121 9 2 1

Never believe the fuckers who say "why bother, they already won"

4 months ago 3977 1259 16 12

Updated preprint on the roadmap to predicting macromolecular ensembles with @bonomimax.bsky.social! Four key issues:
1) Structural ensembles are defined inconsistently across disciplines.
2) No single experimental technique alone can fully capture structural ensembles
arxiv.org/abs/2505.01919

6 months ago 9 2 1 0
Advertisement

In Boston, every day is No Kings Day

6 months ago 1955 345 25 13
Video

😍 Boston, you are beautiful. #NoKings

6 months ago 51114 12336 1027 859
My linocut portrait of astronaut Mae Jemison in her flight suit, holding her helmet, with the globe of Earth above and to left.

My linocut portrait of astronaut Mae Jemison in her flight suit, holding her helmet, with the globe of Earth above and to left.

Happy birthday to American astronaut Mae Carol Jemison (born October 17, 1956), a physician who became the first Black woman to travel in space when she went into orbit aboard the Space Shuttle Endeavour for NASA, on September 12, 1992! 🐡🧪🧑🏾‍🔬 #histsci She also has a B.S. in chemical engineering, 🧵1/n

2 years ago 82 26 2 1

Want to join the BioEmu team at MSR AI for Science? We have multiple intern (jobs.careers.microsoft.com/global/en/jo...) and one fixed-term postdoc (jobs.careers.microsoft.com/global/en/jo... positions available! Please share with potential candidates :)

6 months ago 6 4 0 0
Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."

Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."

New review on computational design of intrinsically disordered proteins 🖥️🍝 by @giuliotesei.bsky.social @fpesce.bsky.social & 👴

doi.org/10.48550/arX...

7 months ago 48 16 0 1
Preview
Let’s be clear about what happened to Jimmy Kimmel Trump’s most brazen attack on free speech yet.

After years of complaining about cancel culture, the current administration has taken it to a new and dangerous level by routinely threatening regulatory action against media companies unless they muzzle or fire reporters and commentators it doesn’t like.

7 months ago 61735 19645 1999 914
Post image

Tomorrow we're excited to host @sarahalamdari.bsky.social at Chalmers for the AI4Science seminar and hear about generative models for protein design! Talk at 3pm CEST. 🤩

For more info, including details on how to join virtually, please see psolsson.github.io/AI4ScienceSe...

@smnlssn.bsky.social

7 months ago 8 3 0 0
Post image Post image

A compelling review of how ML/AI could help in the quest to find an enzyme for every reaction.

@jsunn-y.bsky.social @francescazfl.bsky.social Yueming Long @francesarnold.bsky.social

www.cell.com/cell-systems...

7 months ago 20 5 0 0
Advertisement

Join us this fall for the Chalmers AI4Science seminar series with this amazing line-up of speakers! All seminars held on-campus at Chalmers and streamed over Zoom.

See psolsson.github.io/AI4ScienceSe... for details!

Speakers:
@sarahalamdari.bsky.social
@micheleceriotti.bsky.social
& Prashant Singh

7 months ago 6 1 0 0
Preview
Senate Probe Uncovers Allegations of Widespread Abuse in ICE Custody Led by US senator Jon Ossoff, the investigation cites hundreds of reports since January, including accounts of miscarriages, child neglect, and sexual abuse at ICE detention centers in dozens of state...

A United States Senate investigation has identified more than 500 credible reports of human rights abuses in US immigration detention since January, including alarming allegations of mistreatment of pregnant women and children.

8 months ago 6762 3456 252 233
Post image

AtomWorks is out! Building upon @biotite_python, we built a toolkit for all things biomolecules and trained RF3 with it. All open-source, test it via `pip install atomworks`!

AtomWorks: github.com/RosettaCommo...
RF3: github.com/RosettaCommo...
Paper: tinyurl.com/y2w4z65b

1/6

8 months ago 22 6 1 0
Preview
Accelerating Biomolecular Modeling with AtomWorks and RF3 Deep learning methods trained on protein structure databases have revolutionized biomolecular structure prediction, but developing and training new models remains a considerable challenge. To facilita...

(1/7)
Training biomolecular foundation models shouldn't be so hard. And open-source structure prediction is important. So today we're releasing two software packages: AtomWorks and RosettaFold3 (RF3)

[www.biorxiv.org/content/10.1101/2025.08....

8 months ago 67 28 2 2
Post image Post image

The @uwproteindesign.bsky.social's experimental pipeline behind models like RFdiffusion and ProteinMPNN:

- A rapid, scalable, pipeline for producing and characterizing proteins
- A demultiplexing protocol for converting oligopools to clonal constructs

Jason Qian @lfmilles.bsky.social Basile Wicky

8 months ago 14 3 1 0
Preview
Scaling down protein language modeling with MSA Pairformer Recent efforts in protein language modeling have focused on scaling single-sequence models and their training data, requiring vast compute resources that limit accessibility. Although models that use ...

Excited to share work with
Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org
biorxiv.org/content/10.1...
TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling🧵

8 months ago 97 43 1 1

I don’t want the NIH to be fucking profitable, I want it to cure cancer and Alzheimer’s

8 months ago 5158 1072 122 30
Search Jobs | Microsoft Careers

We may have the chance to hire an outstanding researcher 3+ years post PhD to join Tarleton Gillespie, Mary Gray and me in Cambridge MA bringing critical sociotechnical perspectives to bear on new technologies.

jobs.careers.microsoft.com/global/en/jo...

8 months ago 90 49 0 3
Post image Post image

In 1965, Margaret Dayhoff published the Atlas of Protein Sequence and Structure, which collated the 65 proteins whose amino acid sequences were then known.

Inspired by that Atlas, today we are releasing the Dayhoff Atlas of protein sequence data and protein language models.

8 months ago 66 28 3 3
Advertisement
Preview
A 'No Kings' demonstration and Boston's Pride Parade are both planned for Saturday. What to know. Protests against President Donald Trump and his administration are planned nationwide Saturday, but in Boston, organizers say the “No Kings” demonstration will look a little different, since the day o...

Join us along the #BostonPride parade route to celebrate the resistance of our LGBTQIA+ community in the face of tyranny.
✊🏳️‍🌈🏳️‍⚧️🇺🇸

#NoKings
#50501movement
@50501movement.bsky.social

www.boston.com/news/local-n...

10 months ago 25 11 3 2
Preview
Here Are the Nearly 2,500 Medical Research Grants Canceled or Delayed by Trump (Gift Article) Some cuts have been starkly visible, but the country’s medical grant-making machinery has also radically transformed outside the public eye.

🧪👩‍🔬🧬🥽🍎 #politics

www.nytimes.com/interactive/...

10 months ago 12 6 1 1
Video

Massive crowd at Boston’s city hall plaza for the #HandsOff protest against Trump and Musk

1 year ago 18389 4103 246 295
A large paper clip with googly eyes glued to it. It’s standing up next to the track pad on a laptop due to magic aka magnetic forces

A large paper clip with googly eyes glued to it. It’s standing up next to the track pad on a laptop due to magic aka magnetic forces

I accidentally discovered that there is a weird magnetic spot on my laptop that will make a paperclip stand up, so I had to add googly eyes and make my own personal Clippy

1 year ago 2571 481 47 47