Detection of multiple disease indicators by an autonomous biomolecular computer

Binyamin Gil, Maya Kahan-Hanum, Natalia Skirtenko, Rivka Adar, Ehud Shapiro

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)2989-2996
Number of pages8
JournalNano Letters
Volume11
Issue number7
DOIs
StatePublished - 13 Jul 2011

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • Condensed Matter Physics
  • Mechanical Engineering
  • Bioengineering
  • General Materials Science

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