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Order from disordered proteins: Physics-based algorithm designs biomolecules with custom properties
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
A team with Professor Krishna Shrinivas designed a computational framework using machine learning algorithms to design ...
Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.
News-Medical.Net on MSN
Researchers design intrinsically disordered proteins with tailored properties
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
Two-dimensional liquid chromatography (2D-LC) improves chromatographic performance, with LCxLC providing extensive ...
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 ...
AZoBuild on MSN
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, ...
AI’s real power lies not only in logistics efficiency but also in building long-term relationships with customers. Their ...
This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, today announced that they are deeply researching the quantum ...
Chlorinated organic pollutants (COPs), widely used in industry and agriculture, persist in soil and groundwater for decades ...
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