Paul Rothemund and Colleagues Use Self-Assembled DNA Scaffolding to Build Tiny Circuit Boards
Dr. Paul Rothemund, Senior Research Associate in Bioengineering, Computer Science, and Computation and Neural Systems, and colleagues have developed a new technique to orient and position self-assembled DNA shapes and patterns--or "DNA origami"--on surfaces that are compatible with today's semiconductor manufacturing equipment. They "have removed a key barrier to the improvement and advancement of computer chips. They accomplished this through the revolutionary approach of combining the building blocks for life with the building blocks for computing," said Professor Ares Rosakis, Chair of Division of Engineering and Applied Science and Theodore von Kármán Professor of Aeronautics and Mechanical Engineering. [Caltech Press Release]
Michael Hucka and Colleagues Help Launch the First Standard Graphical Notation for Biology
Dr. Michael Hucka, Senior Research Fellow in Control and Dynamical Systems and Co-Director of the Biological Network Modeling Center, and colleagues in 30 laboratories worldwide have released a new set of standards for graphically representing biological information—the biology equivalent of the circuit diagram in electronics. This visual language should make it easier to exchange complex information, so that biological models are depicted more accurately, consistently, and in a more readily understandable way. The new standard, is called the Systems Biology Graphical Notation (SBGN). "As biology focuses more on managing complexity with quantitative and systematic methods, standards such as SBGN play an essential role. SBGN combines an intuitive notation with the rigorous style of engineering and math," says John Doyle, the John G. Braun Professor of Control and Dynamical Systems, Bioengineering, and Electrical Engineering. [Caltech Press Release]
Emmanuel Candes Receives Information Theory Society Paper Award
Emmanuel Candes, Ronald and Maxine Linde Professor of Applied and Computational Mathematics, has garnered the 2008 Information Theory Society Paper Award jointly with Terence Tao and David Donoho. Their ground-breaking papers were cited for independently introducing the new area of compressed sensing, which holds great promise for processing massive amounts of data, and has already had a broad impact on a diverse set of fields, including signal processing, information theory, function approximation, MRI, and radar design.