👉 Walks, short for Walks through Time, is a computational method used to infer the evolutionary history of proteins by reconstructing their ancestral sequences and structures over time. Developed by researchers at the University of Washington, this approach combines phylogenetic analysis with molecular dynamics simulations to trace how proteins have evolved, including changes in their amino acid sequences and three-dimensional shapes. By analyzing large datasets of protein sequences from various species, Walks can identify patterns of conservation and divergence, reconstructing a tree of life for proteins and estimating when specific evolutionary events occurred. This method is particularly useful for understanding the functional and structural adaptations of proteins across different lineages, providing insights into biological processes and aiding in the prediction of protein function and interactions.