A Fast Method to Search for Protein Homologies Using Neural Networks

In a previous work we have described a method, based on Kohonen’s unsupervised-learning algorithm, to cluster a set of known protein sequences into families. We show here some examples of how a network, trained with 1758 human protein sequences, can correctly classify nonlearned sequences (nonhuman sequences and small fragments or random amino acid mutations of human sequences) in a very fast way.