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Artificial Neural Networks (ANNs) are computational models inspired by the structure and functioning of the human brain. They consist of interconnected nodes called neurons, organized in layers: input, hidden, and output layers. In biostatistics and bioinformatics, ANNs have become a powerful tool for predicting protein structure, function, and interactions based on sequence and structural data. Protein prediction involves determining secondary structures like alpha-helices and beta-sheets, tertiary conformations, ____ __________ ____ ____ _________ ___ _________ ______ ___ __________ ________.
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