title: Detection of multiple disease indicators by an autonomous biomolecular computer.
abstract: The promise of biomolecular computers is their ability to interact with naturally occurring biomolecules, enabling in the future the development of context-dependent programmable drugs. Here we show a context-sensing mechanism of a biomolecular automaton that can simultaneously sense different types of molecules, allowing future integration of biomedical knowledge on a broad range of molecular disease symptoms in the decision of a biomolecular computer to release a drug molecule.
authors.affiliation: Department of Biological Chemistry, Weizmann Institute of Science, Rehovot 76100, Israel.
authors.forename: Binyamin
authors.initials: B
authors.lastname: Gil
authors.forename: Maya
authors.initials: M
authors.lastname: Kahan-Hanum
authors.forename: Natalia
authors.initials: N
authors.lastname: Skirtenko
authors.forename: Rivka
authors.initials: R
authors.lastname: Adar
authors.forename: Ehud
authors.initials: E
authors.lastname: Shapiro
mesh_terms: D019295:Computational Biology; D003198:Computer Simulation; D004247:DNA / Q000032:analysis*; D004268:DNA-Binding Proteins / Q000032:analysis*; D036103:Nanotechnology; D010316:Particle Size; D012313:RNA / Q000032:analysis*; D012984:Software; D013499:Surface Properties
chemical_list: D004268:DNA-Binding Proteins; D012313:RNA; D004247:DNA