Played complete games according to a perfect strategy, which demonstrates high levels of molecular computational ability.

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Background Molecular computing is still in development and was not even in existence until just a decade ago. The key to molecular computing is DNA, which was found to be very similar to a computer hard drive in that it stores permanent information about genes. DNA strands can also be programmed to communicate with one another; when given a clear input command, they can respond to other nearby molecules to give logical, predictable outcomes. The programming used on DNA consists of logic gates that rely on DNA code. The logic gates detect fragments of genetic material as input, splice together these fragments and form a single output. While individual molecular gates and small networks have been constructed, these gates are yet to be integrated at higher levels of complexity. In today’s ever-evolving market for the fastest microprocessor, the ability to truly integrate molecular components is critical in the construction of next-generation molecular devices.    Technology Descriptions Researchers at the University of New Mexico and Columbia University have developed a first-solution phase molecular assembly comprising of over 100 molecular logic gates. This technology is a second generation molecular automaton capable of playing a complete game of tic-tac-toe against a human opponent, and encompasses 76 permissible game plays. The construction consists of three classes of stem-loop controlled deoxyribozyme-based logic gates that are allosterically modulated by input oligonucleotides to produce fluorescent output signals. By developing particles that are able to effectively communicate with one another, this technology opens the door to more efficient DNA analysis and molecular computing.    Advantages Played complete games according to a perfect strategy, which demonstrates high levels of molecular computational ability Signals moves in a user-friendly two-color output system Minimal trial and error from input selection Applications include: micro-array style diagnostics, analysis of multiple DNA sequences, multiplex single nucleotide polymorphism (SNP) detection, viral lineage attribution, detection and release of small molecules, inhibition of enzymatic activity, and development of autonomous molecular devices

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