Profile-based scoring matrices are computational tools used to assess the similarity between biological sequences by comparing them to a profile derived from multiple sequence alignments. These matrices help identify conserved regions in protein sequences, allowing for better understanding of protein function and evolutionary relationships. They incorporate information from numerous sequences to create a statistical framework that can predict the likelihood of residue substitutions and detect homologous sequences more accurately.
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