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Protein Modeling

/ˈproʊ.tiːn ˈmɑd.əl.ɪŋ/noun
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Protein modeling is the computational process of predicting and constructing three-dimensional structures of proteins from their amino acid sequences, helping scientists visualize how these molecules function in biological systems. This technique adds nuance in modern applications, such as accelerating drug design by identifying potential binding sites for new medications, and it's now enhanced by AI to tackle complex proteins that were once mysterious puzzles.

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In 2020, DeepMind's AlphaFold AI program solved the protein folding problem for nearly 98% of human proteins, a challenge that had stumped scientists for over 50 years and was deemed one of biology's grandest mysteries, leading to breakthroughs in understanding diseases like Alzheimer's and COVID-19.

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