Ian Humphreys @IanRHum
Computational structural biology. PhD from Baker lab @UWproteindesign Seattle, WA Joined May 2018-
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Ian Humphreys retweeted
Excited to share work with @ZhidianZ, Milot Mirdita, Martin Steinegger, and @sokrypton biorxiv.org/content/10.110… TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling 🧵
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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-deepmin…
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-deepmin…
A great thread from Paul that mirrored a lot of my experiences in the Baker lab!
A great thread from Paul that mirrored a lot of my experiences in the Baker lab!
Ian Humphreys retweeted
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.”
A couple of weeks ago our work on predicting protein-protein interactions in 19 pathogenic bacteria came out in @NatureMicrobiol! Here we screened millions of potential pairs and identified ~1,300 presumed to be novel interactions. nature.com/articles/s4156…
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/10.110…
Ian Humphreys retweeted
Computing the Human Interactome biorxiv.org/content/10.110… 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/10.110…
Ian Humphreys retweeted
Excited to share our latest research on human PPI now available on bioRxiv! Check it out: biorxiv.org/content/10.110… #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/s4156…
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/10.110…
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/s4158…
Ian Humphreys retweeted
Super excited to share that ENGRAM is out today! ENGRAM cells are programmed to write their histories into the genome, recording the intensity, duration, and order of biological events simultaneously. nature.com/articles/s4158…
Ian Humphreys retweeted
Now online: We developed novel oligomers and turned them into FGFR agonists via binder induced receptor clustering. #denovo_proteins sciencedirect.com/science/articl…
Ian Humphreys retweeted
Researchers in Science present a next-generation protein structure prediction and design tool, #RoseTTAFold All-Atom, that can accept a wide range of ligands and covalent amino acid modifications. Learn more in this week's issue: scim.ag/6Ea
Ian Humphreys retweeted
Super excited to share our paper “Design of amyloidogenic peptide traps” is out now! 🧠 nature.com/articles/s4158… Special thanks to @eaandrzejewska , Danny Sahtoe and David Baker
Ian Humphreys retweeted
Our work on modeling and designing biomolecular assemblies is now in @ScienceMagazine. science.org/doi/10.1126/sc… RFAA Code: github.com/baker-laborato… RFdiffusionAA Code: github.com/baker-laborato…
Ian Humphreys retweeted
Deeply honored to be selected. Huge thanks to my advisor Nir Hacohen, Darrell Irvine, and @MITBiology for all the support, and my mentors and collaborators for the fun journey. Multiple past awardees inspired me a lot during my career, I am grateful to have a chance to join them.
Deeply honored to be selected. Huge thanks to my advisor Nir Hacohen, Darrell Irvine, and @MITBiology for all the support, and my mentors and collaborators for the fun journey. Multiple past awardees inspired me a lot during my career, I am grateful to have a chance to join them.
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