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TripletRes is a method for protein inter-residue contact prediction. For a query sequence, TripletRes starts with the collection of deep multiple sequence alignments (MSAs) through whole-genome and metagenome sequence databases. Next, three complimentary coevolutionay feature matrices (covariance martrix, precision matrix and the pseudolikelihood maximization) extracted from the MSAs are used to create contact-map models through deep residual convolutional neural network training.


TripletRes server (Example output)


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