Synthetic biology, Gene expression is a process that we call “parsing of life algorithm,” in which information flows from a one-dimensional DNA code into a three-dimensional structural base-21 protein. Our aim is to understand the biophysics of gene expression mechanisms and design synthetic chromosomes. Moreover, our lab is involved in developing the SemiSynBio Roadmap that will drive research and development on national and global scales at the intersection of synthetic biology and semiconductor technology.
Nucleic acid memory (NAM), With the ever-increasing volume of digital information, it is estimated that global memory demand will exceed the projected silicon supply by 2040. With information retention times that range from thousands to millions of years, volumetric density 103 times greater than flash memory and energy of operation 108 times less, Nucleic Acid Memory (NAM) is a potential alternative to silicon-based memory. Our aim is to investigate the possibility of utilizing NAM technology for future memory needs.
DNA nanotechnology, DNA addresses many of the current barriers to the self-assembly of small molecules into highly ordered nanostructures. As a method for rational and arbitrary design of addressable, atomically precise, sophisticated and complex 2D and 3D nanostructures, DNA nanotechnology exists at the interface of synthetic biology, biotechnology, chemistry, computer and materials sciences. Our aim is to produce DNA nanostructures that serve as molecular guides for manipulation of biological processes, drug delivery, and molecular computation.
Bioinformatics, The interdisciplinary field of bioinformatics provides tools to analyze biological “big data.” Bioinformatics is deployed to analyze biological information processes including information generation, storage, access, and interpretation. Also, computer-aided design and modeling properties of matter plays an important role in study of materials. Our aim is to analyze the data and model materials properties.