
Computational structural biology. PhD from Baker lab @UWproteindesign
Seattle, WA
Joined May 2018
- Tweets103
- Following187
- Followers539
- Likes345
Ian Humphreys retweeted
Excited to share our now published manuscript @CellCellPress highlighting advances in modeling the evolution of protein-protein interactions with MSA Pairformer. Big thanks to @ZhidianZ, @oliviatang116, @eunbelivable, Milot Mirdita, Martin Steinegger, and @sokrypton !🧵 (1/10)
cell.com/cell/fulltext/S0092…
Ian Humphreys retweeted
Predicting protein-protein interactions in the human proteome | Science science.org/doi/10.1126/scie…
Ian Humphreys retweeted
We are pleased to share our new preprint: “De novo design of RNA and nucleoprotein complexes”.
This work extends the principles of de novo protein design to RNA and DNA, enabling the generative design of complex multi-polymer structures! (1/6)
doi.org/10.1101/2025.10.01.6…
Ian Humphreys retweeted
pH gradients are central to physiology, from vesicle acidification to the acidic tumor microenvironment. But how do we program proteins to respond to pH? In our new preprint biorxiv.org/content/10.1101/…, we developed computational methods to rationally design pH-sensitive binders. 🧵
Ian Humphreys retweeted
Phosphorylation on tyrosines control key pathways in immunity, cancer, and metabolism. For the first time, we can now design proteins that specifically recognize individual phosphotyrosines, even in disordered regions. (1/8)
Preprint: biorxiv.org/content/10.1101/…
Ian Humphreys retweeted
We sought to make proteins both potent and FAST. We used #proteindesign to design precise control over protein interaction lifetimes, enabling us to construct rapid-response circuits, biosensors, and switchable cytokines. Now published @Nature! Links to paper and tutorial below.
Ian Humphreys retweeted
We asked ourselves what could we do if we worked cooperatively as a team to create a single model that could design any biomolecular interactions.
Yesterday, we reported details of RFdiffusion3, the next step towards building functional proteins straight from the computer.
Ian Humphreys retweeted
Very excited to share our paper "De novo Design of All-atom Biomolecular Interactions with RFdiffusion3", now on BioRXiv. biorxiv.org/content/10.1101/… 1/n
Ian Humphreys retweeted
We built RF3 with @nvidia’s latest cuEquivariance accelerations, letting us iterate fast.
Now we’re sharing the full stack: ModelForge — open-source infra for training biomolecular AI.
Start your project here 👉 github.com/RosettaCommons/mo…
Ian Humphreys retweeted
Excited to share work with @ZhidianZ, Milot Mirdita, Martin Steinegger, and @sokrypton
biorxiv.org/content/10.1101/…
TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling
🧵
Ian Humphreys retweeted
The #AlphaFold 3 model code and weights are now available for academic use. We @GoogleDeepMind are excited to see how the research community continues to use AlphaFold to address open questions in biology and new lines of research.
github.com/google-deepmind/a…
Ian Humphreys retweeted

The Nobel Prize@NobelPrize9 Oct 2024
Sweden
SwedenConnected via Sweden App StoreAccount-level information, not a live location or per-post device.
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
Ian Humphreys retweeted
Exciting new work from Qian Cong's group on predicting human protein interactome. Leveraging new eukaryotic genomes, new RoseTTAFold2 trained on +/- pairs of PPI and large distilled dataset of domain-domain interactions! 🤩
biorxiv.org/content/10.1101/…
Ian Humphreys retweeted
Computing the Human Interactome biorxiv.org/content/10.1101/… Jing, @IanRHum, Qian, amazing work!
Ian Humphreys retweeted
Happy to share our preprint on predicting human protein interactome! We've trained RoseTTAFold2-PPI on both positive/negative PPI pairs. We also extended the training set by utilizing domain-domain interactions from predicted structures.
biorxiv.org/content/10.1101/…
Ian Humphreys retweeted
Excited to share our latest research on human PPI now available on bioRxiv! Check it out: biorxiv.org/content/10.1101/… #Bioinformatics #Research #ScientificPaper"
Ian Humphreys retweeted
Our "Protein interactions in human pathogens revealed through deep learning" in Nature Micriobiology finally got online. 🎉🎉🎉Read here: nature.com/articles/s41564-0…
Ian Humphreys retweeted
#MERS vaccines built on our two-component protein nanoparticle platform induce robust neutralizing antibody responses and protect mice against vaccine-matched challenge.
This collaborative project was led by @chao_cara and is out now on @biorxivpreprint: biorxiv.org/content/10.1101/…
Ian Humphreys retweeted
Excited to announce our new paper on designing allosterically regulated protein assemblies from scratch, now published in @Nature! This collaborative effort included key contributions from @FloPraetorius, Abbas Idris, @AnnikaPhilomin, @cweidle1 and others! nature.com/articles/s41586-0…



















