Hannah Wayment-Steele (@hwaymentsteele) 's Twitter Profile
Hannah Wayment-Steele

@hwaymentsteele

Biomolecular dynamics, big datasets, small boats. Soon: asst prof @UWBiochem. Currently: @JCCFund fellow with @DorotheeKern.
hkws.bsky.social

ID: 4437432767

linkhttps://waymentsteelelab.org calendar_today10-12-2015 12:27:22

537 Tweet

1,1K Followers

709 Following

Gina El Nesr (@ginaelnesr) 's Twitter Profile Photo

Protein function often depends on protein dynamics. To design proteins that function like natural ones, how do we predict their dynamics? Hannah Wayment-Steele and I are thrilled to share the first big, experimental datasets on protein dynamics and our new model: Dyna-1! đź§µ

Protein function often depends on protein dynamics. To design proteins that function like natural ones, how do we predict their dynamics?

<a href="/HWaymentSteele/">Hannah Wayment-Steele</a> and I are thrilled to share the first big, experimental datasets on protein dynamics and our new model: Dyna-1!

đź§µ
Gina El Nesr (@ginaelnesr) 's Twitter Profile Photo

We collaborated with Hugging Face🤗to host all of our models and data online! Big thank you to Daniel van Strien Wauplin Quentin Lhoest 🤗 for helping out (and GPU)! Dyna-1 and our RelaxDB datasets on HF: 🚀huggingface.co/spaces/gelnesr… 🌟huggingface.co/datasets/gelne…

Machine learning for protein engineering seminar (@ml4proteins) 's Twitter Profile Photo

Next Tues (4/29) at **4:30PM** ET, we will have Gina El Nesr Hannah Wayment-Steele present "Learning millisecond protein dynamics from what is missing in NMR spectra" Paper: biorxiv.org/content/10.110… Sign up on our website for zoom links!

owl (@owl_posting) 's Twitter Profile Photo

What could Alphafold 4 look like? (Sergey Ovchinnikov, Ep #3) 2 hours listening time (links below) To those in the (machine-learning for protein design) space, Dr. Sergey Ovchinnikov (Sergey Ovchinnikov) is a very, very well-recognized name. A recent MIT professor (circa early

Evan Kiefl (@evankiefl) 's Twitter Profile Photo

Our team at Arcadia Science took a recent preprint on attention mechanisms for genotype–phenotype mapping, validated the results, improved the performance, and turned it into shareable research in just 9 days. 1/6 🧵 arcadia-science.github.io/2025-geno-phen…

datascience@uw (@datascience_uw) 's Twitter Profile Photo

DSI is hiring AI engineers, MLOps specialists, and a data scientist to support faculty research, with an emphasis on the UW–Madison RISE initiative. This is a great opportunity to participate in cutting-edge research across a wide range of topics. dsi.wisc.edu/about/work-at-…

DSI is hiring AI engineers, MLOps specialists, and a data scientist to support faculty research, with an emphasis on the <a href="/UWMadison/">UW–Madison</a> RISE initiative. This is a great opportunity to participate in cutting-edge research across a wide range of topics. dsi.wisc.edu/about/work-at-…
Soham Sankaran (@sohamsankaran) 's Twitter Profile Photo

I'm looking for an India-based individual or small team with excellent design sense to design & build a single-page website for a special project PopVax 🇮🇳. We want to start immediately & deploy in a week. If this is you, feel free to reply or DM with links to your work.

Gina El Nesr (@ginaelnesr) 's Twitter Profile Photo

for paper refs about this, I would refer everyone to start with doi.org/10.1016/j.pnmr… from Wim Vranken "In NMR, ensembles of structural models are calculated, with each model typically assigned a score or energy that relates how well they correspond to the generic modelling

Vatsan Raman (@vatsanraman) 's Twitter Profile Photo

Designing proteins for multiple, often competing objectives is a major challenge. In our new preprint, we use deep learning + protein language models to design phages with higher activity, defined specificity, and generalizable infectivity—meeting 26 design goals across several

Designing proteins for multiple, often competing objectives is a major challenge. In our new preprint, we use deep learning + protein language models to design phages with higher activity, defined specificity, and generalizable infectivity—meeting 26 design goals across several
Hannah Wayment-Steele (@hwaymentsteele) 's Twitter Profile Photo

The W-S lab is seeking to hire a research scientist! This person will lead wet-lab innovations in our team as we combine AI and experiments to understand and design dynamics! Thanks for sharing/RTs! jobs.wisc.edu/jobs/scientist…