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Loading...Introduction to Protein Structure Prediction
Last quarter, our team discovered the importance of accurate protein structure prediction in drug discovery and development. We were tasked with comparing the performance of two leading methods: AlphaFold 3.1 and Rosetta 4.2. Here's what I learned when diving into the world of deep learning for protein structure prediction.
The Problem of Protein Structure Prediction
Protein structure prediction is a complex problem that involves predicting the 3D structure of a protein from its amino acid sequence. This is crucial in understanding the function of proteins and their interactions with other molecules. Traditional methods have relied on experimental techniques such as X-ray crystallography and NMR spectroscopy, but these methods are time-consuming and expensive.
Deep Learning for Protein Structure Prediction
Deep learning has revolutionized the field of protein structure prediction. AlphaFold 3.1 and Rosetta 4.
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