In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. (Nanowerk News) The ...
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Machine Learning Applications in Predicting Protein Structures
Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid ...
Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the formation of biomolecular condensates, "droplets" of concentrated proteins, DNA ...
What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...
Machine-learning platform enables signal peptide-informed discovery of small molecules that selectively inhibit protein secretion allowing for the degradation of disease-related proteins at the point ...
This advancement has wide applications for biomedicine and environmental protection. From growth hormones to cancer drugs, small molecules play a crucial role in our health. Monitoring them is ...
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