DNA stores the instructions for life and, along with enzymes and other molecules, computes everything from hair color to risk of developing diseases. Harnessing that prowess and immense storage capacity could lead to DNA-based computers that are faster and smaller than today's silicon-based versions.
DNA stores the instructions for life and, along with enzymes and other molecules, computes everything from hair color to risk of developing diseases. Harnessing that prowess and immense storage capacity could lead to DNA-based computers that are faster and smaller than today's silicon-based versions. As a step toward that goal, researchers report a fast, sequential DNA computing method that is also rewritable -- just like current computers.
In living organisms, DNA expression occurs sequentially: Genes are transcribed into RNA, which is translated into proteins. This process happens to many genes simultaneously and repeatedly. If researchers can duplicate this complex, elegant dance in DNA-based computers, these devices could be more powerful than current silicon-based machines. Researchers have demonstrated sequential DNA computing for very focused, specialized tasks.
The output oligonucleotide bound to a different single-stranded DNA that was folded into an origami-like structure, called a register in computer lingo. To make the reaction processes more efficient and compact, the team first placed the DNA origami register onto a solid glass 2D surface. The output oligonucleotide floating in liquid from a specific logic gate then attached to the glass-mounted register. After the output oligonucleotide was read and the logic gate instructions determined, it detached, which reset the register so it could be rewritten, thereby avoiding the need to move or replace registers.
Biotechnology Biology Organic Chemistry Biometric Forensic Research Computers And Internet Information Technology Distributed Computing
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