DNA Computing Devices and Intelligent Nanobio Agents that Learn from Wet Molecular Data
Overall concept
This study investigates intelligent nanobiomolecular agents that perceive, act, and learn to make decisions in biomolecular environments. Our aim is to develop DNA-based molecular information processing technologies and devices that learn from wet molecular data in in vitro and in vivo biological systems. Our current progress is on specific milestones such as experimentally implementing molecular evolutionary learning of DNA hypernetworks for hand-written digit classification, massively parallel distributed pattern recognition using simulations in molecular computing and There are many applications in the BT and NT industries for the DNA computing devices and molecular intelligent agents that will be developed. In particular, we are interested in applications in molecular diagnostics, personal drug delivers, intelligent gene therapy and nanorobot controllers.
System Architecture


Objectives
  • 1) Molecular machine-learning devices using in vitro DNA computing
  • 2) Molecular pattern recognizers that automatically learn from wet DNA data
  • 3) Intelligent nanobio agents that learn to perceive and act in molecular environments
  • 4) Robust decision making in changing biomolecular environments over a long period of time


Project Title
  • DNA Computing Devices and Intelligent Nanobio Agents that Learn from Wet Molecular Data


Duration
  • May 2014 - May 2018


Funding
  • Samsung Foundation for Future Research Promotion


Principal Investigator : Prof. Byoung-Tak Zhang
  • Researchers:
    • Ji-Hoon-Lee
    • Christina Baek
    • Hyo-Sun Chun
    • Je-Hwan Ryu

Contact: Christina Baek
E-Mail: dsbaek@bi.snu.ac.kr
Phone: +82-2-880-5890