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• W2080329357 abstract "Many biological networks have to filter out useful information from a vast excess of spurious interactions. We use computational evolution to predict design features of networks processing ligand categorization. The important problem of early immune response is considered as a case-study. Rounds of evolution with different constraints uncover elaborations of the same network motif we name adaptive sorting. Corresponding network substructures can be identified in current models of immune recognition. Our work draws a deep analogy between immune recognition and biochemical adaptation." @default.
• W2080329357 created "2016-06-24" @default.
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• W2080329357 date "2013-05-21" @default.
• W2080329357 modified "2023-10-13" @default.
• W2080329357 title "Principles of Adaptive Sorting Revealed by<i>In Silico</i>Evolution" @default.
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• W2080329357 doi "https://doi.org/10.1103/physrevlett.110.218102" @default.
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