Jacob West-Roberts (@jwestrob) 's Twitter Profile
Jacob West-Roberts

@jwestrob

Computational biologist, rock hunter, prokaryote enthusiast, wizard.

ID: 17824723

linkhttp://jwestrob.github.io calendar_today03-12-2008 01:23:23

2,2K Tweet

690 Followers

1,1K Following

Lucien Hinderling (@lhinderling) 's Twitter Profile Photo

PREPRINT OUT ✨ "hack" your microscope to work as a 3D printer! print micrometer sized features at cm scale. a method for easy and cheap microfabrication, with a focus on biological applications. THREAD ↓ biorxiv.org/content/10.110…

Hiro Imachi (@hiro_imachi) 's Twitter Profile Photo

Isolated in just 3 years! (Much faster than the 12 years in our previous study). We cultured two strains from 'Hodarcaheales', proposed to be closest to our archaeal ancestors. biorxiv.org/content/10.110…

Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm Nature Communications 1/ This study presents Seq2Symm, a deep learning model fine-tuned from ESM2 for predicting the symmetry of homo-oligomeric protein assemblies, outperforming template-based and prior deep

Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm <a href="/NatureComms/">Nature Communications</a> 

1/ This study presents Seq2Symm, a deep learning model fine-tuned from ESM2 for predicting the symmetry of homo-oligomeric protein assemblies, outperforming template-based and prior deep
Valeriy M., PhD, MBA, CQF (@predict_addict) 's Twitter Profile Photo

🔥 🔥 🔥 🔥 shapiq Shapley interactions for Machine learning Forget about SHAP it was more holes than Swiss cheese and relies on unrealistic assumptions #xai

🔥 🔥 🔥 🔥 shapiq Shapley interactions for Machine learning

Forget about SHAP it was more holes than Swiss cheese and relies on unrealistic assumptions

#xai
Peter Holderrieth (@peholderrieth) 's Twitter Profile Photo

Our MIT class “6.S184: Introduction to Flow Matching and Diffusion Models” is now available on YouTube! We teach state-of-the-art generative AI algorithms for images, videos, proteins, etc. together with the mathematical tools to understand them. diffusion.csail.mit.edu (1/4)

Our MIT class “6.S184: Introduction to Flow Matching and Diffusion Models” is now available on YouTube!

We teach state-of-the-art generative AI algorithms for images, videos, proteins, etc. together with the mathematical tools to understand them.

diffusion.csail.mit.edu

(1/4)
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

PyPropel: A Python-Based Tool for Efficiently Processing and Characterizing Protein Data 1/ PyPropel is a Python-based computational tool designed to streamline large-scale protein sequence analysis, focusing on efficient data preprocessing, feature generation, and

PyPropel: A Python-Based Tool for Efficiently Processing and Characterizing Protein Data

1/ PyPropel is a Python-based computational tool designed to streamline large-scale protein sequence analysis, focusing on efficient data preprocessing, feature generation, and
Prithviraj (Raj) Ammanabrolu (@rajammanabrolu) 's Twitter Profile Photo

I taught a grad course on AI Agents at UCSD CSE this past quarter. All lecture slides, homeworks & course projects are now open sourced! I provide a grounding going from Classical Planning & Simulations -> RL Control -> LLMs and how to put it all together pearls-lab.github.io/ai-agents-cour…

I taught a grad course on AI Agents at UCSD CSE this past quarter. All lecture slides, homeworks &amp; course projects are now open sourced!

I provide a grounding going from Classical Planning &amp; Simulations -&gt; RL Control -&gt; LLMs and how to put it all together
pearls-lab.github.io/ai-agents-cour…
Karsten Kreis (@karsten_kreis) 's Twitter Profile Photo

📢📢 "Proteina: Scaling Flow-based Protein Structure Generative Models" #ICLR2025 (Oral Presentation) 🔥 Project page: research.nvidia.com/labs/genair/pr… 📜 Paper: arxiv.org/abs/2503.00710 🛠️ Code and weights: github.com/NVIDIA-Digital… 🧵Details in thread... (1/n)

Yifei Wang (@yifeiwang77) 's Twitter Profile Photo

No More Tears with Matryoshka🪆 & Let's Embrace Sparsity 🚀🚀 With sparse autoencoders + sparse contrastive learning, we can compress SOTA text/image/multimodal embedding models from 2k/4k dimensions to 16 active dimensions with: ~100x faster at large-scale retrieval, minimal

No More Tears with Matryoshka🪆 &amp; Let's Embrace Sparsity 🚀🚀

With sparse autoencoders + sparse contrastive learning, we can compress SOTA text/image/multimodal embedding models from 2k/4k dimensions to 16 active dimensions with: ~100x faster at large-scale retrieval, minimal
rkakamilan (@rkakamilan) 's Twitter Profile Photo

A Model-Centric Review of Deep Learning for Protein Design arxiv.org/abs/2502.19173 AF3, Boltz-1, Chai-1やBindCraft, Pinal, ESM3など、モデルごとにまとめた総説 protenixがない

Arne Schneuing (@rneschneuing) 's Twitter Profile Photo

The code & camera-ready version of our #ICLR2025 paper on "Multi-domain Distribution Learning for De Novo Drug Design" are now available 📚 Paper: openreview.net/forum?id=g3VCI… 💻 Code: github.com/LPDI-EPFL/Drug… (1/4)

sri (@srivsesh) 's Twitter Profile Photo

> sparse MoE autoregressive pLM > compute optimal scaling law > 1.5T tokens of external/internal data (Profluent Protein Atlas v1) > functional alignment via IRPO > wet lab results (!!!) such cool work from Aadyot Bhatnagar et al biorxiv.org/content/10.110…

GAMA Miguel Angel 🐦‍⬛🔑 (@miangoar) 's Twitter Profile Photo

Sometimes I think that proteins are truly motherfuckers like this one that binds Uranium ☢️💀 Protein with twin binding sites for uranium extraction from seawater academic.oup.com/nsr/advance-ar… img source synbiobeta.com/read/uranium-e…

Sometimes I think that proteins are truly motherfuckers like this one that binds Uranium ☢️💀

Protein with twin binding sites for uranium extraction from seawater
academic.oup.com/nsr/advance-ar…

img source
synbiobeta.com/read/uranium-e…
ChimeraX (bsky: chimerax.ucsf.edu) (@ucsfchimerax) 's Twitter Profile Photo

The ChimeraX 1.10 release candidate and daily builds can predict small complexes of proteins, nucleic acids and small molecules using Boltz on your Mac, Windows or Linux computer. rbvi.ucsf.edu/chimerax/data/…

Tatta Bio (@tatta_bio) 's Twitter Profile Photo

We are thrilled to announce our new publication in Science Advances: Gaia, an AI-powered protein search platform that brings genomic context into functional annotation. science.org/doi/10.1126/sc… Gaia enables rapid, scalable discovery of remote homologs across 131,000+ genomes —