What role does protein design play in advancing next-gen optogenetic tools?
Protein design accelerates the development and application of optogenetic tools. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.02.014
CSBJ: https://www.csbj.org/
AI | 
QUANTUM
Google Bets Big on Quantum-AI Synergy
New chip “Willow” achieves breakthrough error reduction via more qubits.
May generate novel training data as AI hits internet data limits.
Could power models like AlphaFold with quantum-informed insights.
Google targets real-world quantum use case in 5 years.
Can post-processing and deep learning push protein prediction to near perfection?
Post-processing enhances protein secondary structure prediction with second order deep learning and embeddings. DOI: https://doi.org/10.1016/j.csbj.2024.12.022
CSBJ: https://www.csbj.org/
La rivoluzione medica è alle porte con Google's #AlphaFold! Anticipando stravolgimenti nella medicina tradizionale. #MedicinaDelFuturo #socialmedia #artificialintelligence #technology
https://aibay.it/notizie/lintelligenza-artificiale-verso-una-medicina-rivoluzionaria-2025-03-28
my features published in #CurrentBiology this year, issue 2: Reconstructing ancient #OlfactorySensors may help solve the #structures of the modern ones
https://proseandpassion.blogspot.com/2025/01/on-origins-of-smell.html #science #smell #structuralBiology #proteins #nanoworld #alphaFold
AlphaFold has identified thousands of potential psychedelics by predicting protein structures and interactions, opening new doors for drug discovery. These insights could accelerate research into therapies for mental health and neurological conditions. Can AI-designed molecules revolutionize how we develop treatments, or will these predictions face challenges in the lab? #AI #DrugDiscovery #AlphaFold
https://www.nature.com/articles/d41586-024-00130-8
@malteengeler ich würde sagen #KI lässt sich auch in einer besseren Welt ohne #Kapitalismus sinnvoll einsetzen.
Gerade wenn es nicht nur um #GenAI geht, sondern auch um die kürzlichen Durchbrüche bei Reasoning (#OpenAI o3), sehe ich riesiges Potential für z.B. die Wissenschaft. Siehe #AlphaFold
Allerdings schaffen wir es nicht in einem kapitalistischen System die Organisationen mit dem Gemeinwohl zu alignen, geschweige denn deren Modelle und wir enden in einer Dystopie (mehr als eh schon 
).
Google's "Era of Digital Biology" BEGINS...
Protein structure prediction (aka #AlphaFold) wins the 2024 #NobelPrize in #Chemistry.
As a chemist, I'm not sure if this is entirely chemistry, but I'm happy about it. A stunning technical achievement that changed structural biology.
https://www.statnews.com/2024/10/09/nobel-prize-chemistry-baker-hassabis-jumper-awarded-prize/
Job update 
I'm moving from the business desk @STAT to #healthtech to resume covering #AI in #healthcare
Tips on an #algorithm gone awry? The next #Alphafold? Hiccups in AI adoption? Drama? (I will take any kind of goss!)
hmu: brittany.trang@statnews.com or 231-818-8189 on Signal
We are hiring! Join our lab to unveil the molecular basis of gamete recognition by combining #biochemistry, #cryoEM, #crystallography and #AlphaFold predictions:
Integrative Structural Biology of Fertilization
https://ki.varbi.com/en/what:job/jobID:687262
Hi Structural biologists!
Here is our article that helps you make the case that the experiment is still very much needed: https://www.nature.com/articles/s41592-023-02087-4
"AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination." Nature Methods (2023)
#Crystallography #MX #PDB #Alphafold #StructuralBiology @strucbio
Now live at eLife: Structural screens identify candidate human homologs of insect chemoreceptors and cryptic Drosophila gustatory receptor-like proteins
https://elifesciences.org/articles/85537
The first part of a developing project looking into the enigmatic origins of insect Gustatory and Odorant receptors!
#AlphaFold #AI with #Phenix #PredictAndBuild makes #Crystallography easier: All you need is your #Xray data and a sequence file.
#AlphaFold2 generates a #hypothesis, #PredictAndBuild compares it to the data, improves it and feeds it back to #AlphaFold2 to create a better #hypothesis.
(Fully automatic. Requires current nightly build of #Phenix from https://phenix-online.org)
