title: Boolean logic functions of a synthetic peptide network.
abstract: Living cells can process rapidly and simultaneously multiple extracellular input signals through the complex networks of evolutionary selected biomolecular interactions and chemical transformations. Recent approaches to molecular computation have increasingly sought to mimic or exploit various aspects of biology. A number of studies have adapted nucleic acids and proteins to the design of molecular logic gates and computational systems, while other works have affected computation in living cells via biochemical pathway engineering. Here we report that de novo designed synthetic peptide networks can also mimic some of the basic logic functions of the more complex biological networks. We show that segments of a small network whose graph structure is composed of five nodes and 15 directed edges can express OR, NOR, and NOTIF logic.
authors.affiliation: Departments of Chemistry and Molecular Biology and the Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California 92037, USA.
authors.forename: Gonen
authors.initials: G
authors.lastname: Ashkenasy
authors.forename: M Reza
authors.initials: MR
authors.lastname: Ghadiri
mesh_terms: D000595:Amino Acid Sequence; D008128:Logic; D008969:Molecular Sequence Data; D010455:Peptides / Q000737:chemistry*
chemical_list: D010455:Peptides