The geometric deep-learning method (PeSTo) used to predict protein binding interfaces. The amino acids involved in the protein binding interface are highlighted in red. Credit: Lucien Krapp (EPFL)
The geometric deep-learning method (PeSTo) used to predict protein binding interfaces. The amino acids involved in the protein binding interface are highlighted in red. Credit: Lucien Krapp (EPFL) Scientists at EPFL have developed PeSTo, an AI model for predicting protein binding interfaces with proteins, nucleic acids, lipids, ions, and small molecules with high confidence. The model's low computational cost enables the processing large amounts of structural data, opening up opportunities for discovering new biology. Proteins are essential to the biological functions of most living organisms. They have evolved to interact with other proteins, nucleic acids, lipids etc., and all of those interactions form large, "supra-molecular" complexes. This means that understanding protein interactions is crucial for understanding many cellular processes.
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