Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.
A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...
According to the researchers, the leap from technical success to operational adoption remains largely unfulfilled. Many ...
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New Study Uses Fuzzy Logic to Accurately Predict Hardness in High-Performance Concrete
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
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Order from disordered proteins
Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered ...
In just a few years, large language models (LLMs) have expanded from millions to hundreds of billions of parameters, ...
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Order from disordered proteins: Physics-based algorithm designs biomolecules with custom ...
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
Associated British Ports’ (ABP) Port of Newport has signed a contract with Ensemble for the use of the Athena, an AI-driven ...
Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...
Produced by Wishing Star Productions, LLC Saturday, January 31 at 11 a.m. and 2 p.m.* ...
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