#ProteinDesign
#proteindesign

I didn't even have time to digest the RFDiffusion3 paper and test it before it was already out of date with RFD4-proteina
October 27, 2026 at 3:19 PM
Researchers at @uwproteindesign.bsky.social introduced RFD4-Proteina, an open, generative model.

💻 The model uses biomolecular reasoning to improve how well scientists can design new proteins with specific functions: https://bit.ly/47Rz51L

#ProteinDesign #OpenScience
October 30, 2026 at 11:57 PM
Tool Duel: ESM3 vs La-Proteina. ESM3 (EvolutionaryScale) turns sequence, structure and function into token tracks and unmasks them step by step. La-Proteina (NVIDIA) uses flow matching on α-carbons + 8-number residue latents, up to 800 residues. toolome.bio #ProteinDesign #MachineLearning
November 2, 2026 at 4:23 PM
New in Nature: Pinal (Westlake University) designs protein sequences from plain-language descriptions. 16B parameters, trained on 1.7B protein–text pairs. A Pinal-designed H-protein raised product titre 1.7× vs the native E. coli one. Code Apache-2.0. toolome.bio #ProteinDesign #CompBio
October 30, 2026 at 3:20 PM
Describe what a protein should do; a 16B model returns sequences. Four were lab-tested; all four worked. Read the evidence:

#ProteinDesign #AIforScience #SynBio

artificialscience.org/2026/11/ai-d...
Just Describe the Protein You Want. This AI Builds It, and It Works — Artificial Science
A protein language model called Pinal designs working enzymes from plain-English prompts. What the Nature paper proves, and what it does not.
artificialscience.org
November 2, 2026 at 5:45 AM
ORCAs PT-3 photonisches Quantensystem wird in London eingesetzt und erreicht eine 20%ige Verbesserung beim Proteindesign und eine 12-fache Beschleunigung bei Energieoptimierungs-Benchmarks bei Betrieb bei Raumtemperatur.

#PhotonischesQuantum #Quantencomputing #Nachrichten
ORCA Computing stellt PT-3 photonisches Quantensystem für wissenschaftliche Forschung und industrielle Optimierung vor
iq.fp2.dev
October 28, 2026 at 8:21 AM
Anthropic’s new LLM Claude just churned out 318k+ antivenom candidates—think scorpion‑venom neutralizers designed by AI. The protein‑design breakthrough could reshape drug discovery. Dive into the details! #Claude #Antivenom #ProteinDesign

🔗 aidailypost.com/news/anthrop...
October 27, 2026 at 5:14 AM
Nobody gave Evo 2 a codon table. It still flags frameshifts, premature stop codons and even spots organisms that reassigned their stop codons. So what do codon-free models really learn?

artificialscience.org/2026/10/can-...

#AI #Genomics #ProteinDesign #Bioinformatics #MachineLearning
Can AI Read DNA Without Being Taught the Genetic Code? — Artificial Science
Codon-free models learn protein biology straight from raw DNA, with no translation table supplied. Here is what the evidence actually shows, and where these models still fall short.
artificialscience.org
October 27, 2026 at 6:39 AM
Describe a protein's job, then test the designs. Pinal generated candidates from text, with functions demonstrated across four protein classes. Not every design works: screening still matters. 🧩
doi.org/10.1038/s415...
#ProteinDesign #AI
Programmable design of functional proteins from natural language - Nature
Pinal, a 16-billion-parameter artificial intelligence model, designs functional proteins from natural-language descriptions, demonstrating experimentally validated activities and improved CO2-fixation...
doi.org
October 26, 2026 at 9:01 AM
Mol-1 from Molence Bio: an open all-atom structure predictor built on Protenix, for protein, DNA, RNA, ligand and ion complexes, tuned for antibody-antigen and protein-ligand accuracy. Apache-2.0 code, weights, fine-tuning scripts.
toolome.bio/tools/mol-1/
#StructuralBiology #ProteinDesign
Mol-1: license, commercial use, paper — Protein structure & design | Toolome
Mol-1: Molence Bio's open all-atom structure prediction model, derived from Protenix, for protein, nucleic acid, ligand and ion complexes, tuned for antibody–antigen, protein–ligand and peptide accura...
toolome.bio
October 29, 2026 at 3:19 AM
Chaperone (Baker lab, IPD) wires 50+ protein design, folding and analysis tools (RFD3, BindCraft, AF3...) into reproducible SLURM pipelines, with agent skills so coding agents can run design campaigns. MIT license.

Details: toolome.bio/tools/chaperone/ #ProteinDesign #AIAgents
October 26, 2026 at 3:17 AM
Biohub's ESMFold2 & ESMC: ESMC is a protein language model trained on ~2.8B sequences; ESMFold2 predicts all-atom structures, incl. complexes, from sequence alone (no MSA). MIT license, weights on Hugging Face.

toolome.bio/tools/esmfold2-esmc-biohub

#ProteinDesign #StructuralBiology
ESMFold2 & ESMC (Biohub): license, commercial use, paper — Protein structure & design | Toolome
ESMFold2 & ESMC (Biohub): Biohub's protein 'world model': ESMC language model (~2.8B sequences), ESMFold2 complex structure prediction/design, and ESM Atlas (6.8B sequences). Commercial use: Permissiv...
toolome.bio
October 27, 2026 at 3:12 AM
Tool Duel: BoltzGen vs BindCraft2 — architecture, piece by piece.

Same input, same output. The middle differs: BindCraft2 optimises a backbone in an AlphaFold2 loop; BoltzGen generates one by diffusion in one pass.

Both collected at toolome.bio
#ProteinDesign #BioML
October 24, 2026 at 6:01 PM
Tool Duel: RFdiffusion2 scaffolds enzyme active sites. RFdiffusion3 does that too, plus binders to DNA, proteins and small molecules, all-atom, and is ~10x faster. BSD-3-Clause, Science 2026. Toolome didn't build either; details at toolome.bio/tools/rfdiffusion3/ #ProteinDesign #CompBio
October 24, 2026 at 3:18 PM
Engineering Nature: How RFD4-Proteina is Redefining Protein Design

Explore RFD4-Proteina, the open-source AI model co-developed by NVIDIA and the UW Institute for Protein Design to accelerate drug discovery and sustainable biot

#NVIDIA #ProteinDesign

Read more →
Engineering Nature: How RFD4-Proteina is Redefining Protein Design
Explore RFD4-Proteina, the open-source AI model co-developed by NVIDIA and the UW Institute for Protein Design to accelerate drug discovery and sustainable biot
calmvibez.com
October 22, 2026 at 11:53 AM
Our kinase-controlled allosteric switch work in @natmethods.nature.com with @toettch.bsky.social now has an invited Perspective in @natrevmcb.nature.com !

🧪 Original research: doi.org/10.1038/s41592-026-03163-1
📖 Perspective: doi.org/10.1038/s41580-026-01036-1

#SyntheticBiology #ProteinDesign
Design and optimization of a kinase-controlled allosteric switch - Nature Methods
This Article introduces a phospho-switch for allosterically regulating target proteins in response to ERK kinase activity.
doi.org
October 20, 2026 at 8:08 AM
🧬 Predicting a protein structure is one thing. Designing an enzyme that actually works is another.
doi.org/10.1038/s415...
#ProteinDesign
De novo design of cysteine proteases - Nature
De novo-designed enzymes use an activated cysteine nucleophile to hydrolyse polypeptide backbones in a sequence-dependent manner.
doi.org
October 18, 2026 at 10:03 AM
October 15, 2026 at 7:39 PM
Job of the day · 15.10.26
Meat Packer - Workable (Workable)
Subnewsletter
#ProteinDesign #StructuralBiology #Bioinformatics #ProteinEngineering
Meat Packer - Workable (Workable)
news.google.com
October 15, 2026 at 8:01 AM
ORCAs PT-3 photonischer Quantencomputer erreicht eine 20%ige Verbesserung beim Proteindesign in Kombination mit NVIDIA GPUs und führt Energieoptimierung 12× schneller durch als sein Vorgänger. Betriebsfähig im Digital Realty London Innovation Lab.

#PhotonischesQuantum #QuantenKI #Nachrichten
ORCA Computing stellt den PT-3 Photonischen Quantencomputer für Hybrid-Quanten-klassische KI vor
orcacomputing.com
October 15, 2026 at 9:26 AM
AI news of the day · 15.10.26
Google gives European researchers access to AlphaFold 3 - Techzine Global
Google gives European researchers access to AlphaFold 3    Techzine Global
Subnewsletter
#ProteinDesign #StructuralBiology #Bioinformatics #ProteinEngineering
Google gives European researchers access to AlphaFold 3 - Techzine Global
Google gives European researchers access to AlphaFold 3    Techzine Global
news.google.com
October 15, 2026 at 8:01 AM