Water drop holds a trillion computers
Devices with DNA software may one day be fitted into cells.
“If you wear the right glasses, a lot of what you see inside the cell is computation,” says Ehud Shapiro of the Weizmann Institute in Rehovot, Israel. Now Shapiro and his colleagues have turned the computational power of biological molecules to their own ends1.
The researchers have built a machine that solves mathematical problems using DNA as software and enzymes as hardware. A trillion such biomolecular machines – working at more than 99.8% accuracy – can fit into a drop of water.
Computers with DNA input and output have been made before, but they involved a laborious series of reactions, each needing human supervision. The new automaton requires only the right molecular mix.
Its too early to say whether biomolecular nanomachines will ever become practical. Optimists, including the new machines inventors, envision them screening libraries of DNA sequences, or even lurking inside cells where they would watch for trouble or synthesize drugs.
The new invention is “an interesting proof of principle”, says Martyn Amos, a bioinformatics researcher at the University of Liverpool, UK. Amos questions whether molecular automata could ever do anything complex enough to be useful, but thinks they may find applications inside cells.
“DNA computing needs to establish its own niche, and I dont think that lies in competing with traditional silicon devices,” says Amos. Biological computers would be better suited to biological problems, such as sensors within organisms or drug delivery, he believes.
“In 10 years this sort of computational device may be yielding applications that people pay money for,” Amos says.
Already Shapiro has patented a design for a molecular computer that can perform any calculation. “If you look at the mechanisms of a cell, you could easily create a universal computer,” he says. “We dont need to teach the cell new tricks, we just need to put the existing tricks together in the right order.”
Cut and paste
The new molecular computers input is a DNA strand. Its letters represent a string of binary symbols – ones and zeroes. The machine answers questions such as whether the input contains an even number of ones.
The computers hardware is two enzymes. One cuts the DNA strands when it recognizes a specific sequence of letters, another sticks DNA snippets back together again. The cutting enzyme makes incisions a few bases shy of its recognition sequence. So its cuts create a range of different DNA molecules, depending on what surrounds the recognition site.
The researchers program each problem by designing DNA software molecules that bind only to a subset of the slices of input DNA. Each software molecule contains a recognition site for the cutting enzyme, and some other DNA letters that determine where on the shortened input molecule the next cut occurs.
The enzymes chomp their way along an input molecule until the calculation is complete – like an early computer processing data encoded on a paper tape. Finally, the joining enzyme attaches one of two output DNA molecules, ending the sequence of reactions and representing the answer to the initial question – yes or no, for example.
“It works better than anything Ive seen, by far,” comments Eric Baum, a computer scientist at the NEC Research Institute, Princeton, New Jersey. Baum is sceptical whether DNA computers will ever become useful. “But this is a step in the right direction,” he says.
- Benenson, Y. et al. Programmable and autonomous computing machine made of biomolecules. Nature, 414, 430 – 434, (2001).
All news from this category: Information Technology
Here you can find a summary of innovations in the fields of information and data processing and up-to-date developments on IT equipment and hardware.
This area covers topics such as IT services, IT architectures, IT management and telecommunications.
What makes plant cell walls both strong and extensible?
New model reveals that a network of cellulose is key to this unique combination. A plant cell wall’s unique ability to expand without weakening or breaking–a quality required for plant…
Can the diffraction limit overcome in the linear imaging system?
A chip-compatible 3D nanoscopy answers. Compared with the superresolution microscopy that bases on squeezing the point spread function in the spatial domain, the superresolution microscopy that broadens the detection range…