Pascal Sturmfels

127 posts

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Pascal Sturmfels

Pascal Sturmfels

@PascalSturmfels

PhD student at @uwcse + @UWproteindesign working on machine learning for protein design, protein language models, etc.

Seattle, WA Katılım Aralık 2019
287 Takip Edilen406 Takipçiler
Brian L Trippe
Brian L Trippe@brianltrippe·
I am pleased to share that I have accepted a position @Stanford to start as an assistant professor in the department of statistics, with an affiliation in @StanfordData, this fall!
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Science Magazine
Science Magazine@ScienceMagazine·
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
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Simon Duerr
Simon Duerr@simonduerr·
Specifying the input for cofolding models just got easier with my new gradio component "gradio_cofoldinginput". Try it here to generate inputs for RoseTTAfold2 All Atom predictions including covalent modifications: huggingface.co/spaces/simondu…
Rohith Krishna@r_krishna3

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…

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Hannah Han
Hannah Han@Hannahlhan·
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
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Nate Bennett
Nate Bennett@naterbennett0·
We’re excited to share our preprint where we show, for the first time, the atomically accurate design of VHH antibodies!
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Nature Biotechnology
Nature Biotechnology@NatureBiotech·
AlphaFold2 and RoseTTAFold are limited to predicting the 3D structure of proteins. A new all-atom method models complete biomolecular assemblies, including proteins, nucleic acids, small molecules, metals, and covalent modifications. #NBThighlight science.org/doi/10.1126/sc…
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Gabriele Corso
Gabriele Corso@GabriCorso·
Excited to finally be able to share our ICLR work critically analyzing the capacity of deep learning docking methods to generalize and how to improve this (spoiler scaling, augmentation and RL)! With this, we release a new significantly improved version of DiffDock! A thread! 🧵
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Samuel Stanton
Samuel Stanton@samuel_stanton_·
looking for interns for two projects next summer, come work with me, @nc_frey and the rest of the @PrescientDesign team applying bleeding edge machine learning to fascinating biological data!
Nathan C. Frey@nc_frey

Come work with me, @samuel_stanton_ , and the fantastic @PrescientDesign @genentech team as a grad student intern this summer in NYC! careers.gene.com/us/en/job/2023… careers.gene.com/us/en/job/2023… 🧵1/

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Hannes Stark
Hannes Stark@HannesStaerk·
Soo, this is a big one :) On Nov 20 we will have RosettaFold all-atom in the reading group with @r_krishna3! Quite amazing protein design capabilities. But that is my naive evaluation - join us and let's discuss and hear your insights! Sign up here: portal.valencelabs.com/logg
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Sanjay Srivatsan
Sanjay Srivatsan@SRsrivatsan·
Thrilled to announce the opening of the Srivatsan Lab (srivatsan-lab.com) at the @fredhutch. The lab will be building new sequencing technologies to understand how our cells and bodies form over the course of development.
Hutch Basic Sciences@HutchBasicSci

The newest @FredHutch Basic Sciences lab opens its doors! The @SRsrivatsan Lab is developing new sequencing technologies to interrogate structure-function relationships during vertebrate development. The lab is growing and hiring at all levels: srivatsan-lab.com

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Sergey Ovchinnikov
Sergey Ovchinnikov@sokrypton·
RoseTTAFold updated to be All-Atom... biological assemblies containing proteins, nucleic acids, small molecules, metals, and covalent modifications ... and diffusion🤯biorxiv.org/content/10.110…
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