The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. 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 ...
New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...
In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...
image: A HIGH-PRECISION ML FRAMEWORK NAMED GLCNN THAT COMBINES "GLOBAL + LOCAL" FEATURES CAN CAPTURE ORIGINAL FINE STRUCTURES OF CATALYTIC SURFACES AND EXTRACT THE KEY FACTORS AFFECTING CATALYTIC ...
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