Recent advancements in quantum computing promise breakthroughs in drug discovery, optimization, and encryption, with tech giants and startups racing to achieve quantum supremacy.Quantum computing, once a theoretical concept, is now making strides toward practical applications. 
Researchers develop groundbreaking one-step synthesis method for bicyclo[1.1.1]pentane-ketones, revolutionizing drug molecule design with mild, light-induced technique at room temperature #DrugDiscovery #ChemistryInnovation
The Rising Costs of Prescription Drugs: Causes and Solutions
Explore the cause behind rising prescription drug costs and discover potential solutions to make medications more affordable for all.
Discover how a novel fusion protein is transforming antibody engineering, paving the way for groundbreaking therapies. #AntibodyEngineering #DrugDiscovery #BiomedicalResearch
https://geekoo.news/engineering-antibodies-with-a-novel-fusion-protein/
Would you believe that my editor let me write this lede for a news story?
New today @STAT: How a new drug discovery partnership between OpenFold and AbbVie/J&J may gather enough data to "get us over the hump" in AI drug discovery:
Presented without comment beyond: 
In "The Six Ds of Exponentials and drug discovery: A path toward reversing Eroom’s law" https://doi.org/10.1016/j.drudis.2025.104341
"however, software such as PaDEL and the Chemistry Development Kit (CDK) have emerged rapidly as free and powerful alternatives. Nowadays, many groups in both industry and academia rely on free cheminformatics resources, including multiple descriptors and ML tools offered by RDKit."
Cheminformatics: Revolutionizing Drug Discovery, Molecular Design, and Chemical Research Paradigms
In the rapidly evolving landscape of scientific research and technological innovation, cheminformatics emerges as a groundbreaking interdisciplinary field that bridges the gap between chemistry, computer science.
Cheminformatics - https://articlescad.com/revolutionizing-drug-discovery-and-chemical-research-the-transformative-power-of-cheminformatics-5631.html
How do affinity and reactivity shape covalent target engagement? In our latest paper in J Med Chem, we show the distinct advantages of lead-like compounds vs. fragments in TCI design. #CovalentDrugs #MedicinalChemistry #DrugDiscovery
https://pubs.acs.org/doi/10.1021/acs.jmedchem.5c00017
‘Pac-Man with a ponytail’ proteins regulate everything from night vision to heartbeats – studying what GRKs look like could improve an array of drugs
#GRK #Proteins #DrugDiscovery #Biotechnology #Alzheimers #CancerResearch #HeartHealth #Pharmaceuticals
https://the-14.com/pac-man-with-a-ponytail-proteins-regulate-everything-from-night-vision-to-heartbeats-studying-what-grks-look-like-could-improve-an-array-of-drugs/
Excited to share the first paper from my team at Merck. Sometimes, in vitro translation systems like mRNA display make mistakes - but does it happen often enough to matter?
https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cbic.202500083
Yes, it does. We describe how you can measure and control the imperfections inherent to genetic reprogramming and IVT in order to design more effective screening libraries in your hunt for the next peptide drug.
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
How do we feel about phenotypic drug discovery? (there seems to be so much evidence that says it might be better than a target based approach, but the scientist/engineer in me keeps going "but how do you know!?!?!")
https://www.independent.co.uk/news/science/chimps-oxford-east-african-uganda-b2566164.html
Daphne Koller makes a very important but underappreciated point at #STATBreakthrough:
The ability of #AI to identify new therapeutic targets is a make-or-break issue for AI in #drugdiscovery because people are running out of low-hanging known targets
Isomorphic Labs president Colin Murdoch talked #AlphaFold 3 with @STAT's Casey Ross at #STATBreakthrough.
He said that #DeepMind understands it's standing on the shoulders of the academic #research community, and that's why they've shared code:
This one's for the chemists out there: #NVIDIA healthcare VP Kimberly Powell on #AI in #drugdiscovery at #STATBreakthrough:
#Google DeepMind's #AI tools #AlphaFold and AF2 blew scientists away with their ability to predict #protein structure.
Now AlphaFold 3 is here, and it solves one long-standing complaint: that AF couldn't predict complexes with ions, DNA, and other biomolecules.
@STAT's Casey Ross with the latest:
https://www.statnews.com/2024/05/08/drug-discovery-alphafold-3-google-deepmind-isomorphic-labs/
David Baker has made a name for himself by applying computer science concepts to #biology: #AlphaFold competitor RoseTTAFold, de novo AI protein design
This time, it's not proteins, but a class of drugs called #macrocycles on the receiving end of his team's efforts
by me for @STAT
https://www.statnews.com/2024/04/25/after-ai-protein-folding-david-bakers-lab-identifies-millions-of-smaller-drug-candidates/
