Difference between revisions of "Oritatami"
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==Overview== | ==Overview== | ||
− | Oritatami is a model of molecular folding based on co-transcriptional folding. It is intended to model the fact that in molecular folding, the folding process does not wait | + | Oritatami is a model of molecular folding based on co-transcriptional folding. It is intended to model the fact that in molecular folding, the folding process does not wait until the end of the production to begin. Oritatami means folding, in Japanese. It is an extension of DNA origami, hence the name. Despite being algorithmically easy to predict (in polynomial time in the length of the sequence), it is surprisingly powerful: it can simulate Turing machines with only a polynomial overhead. To program Oritatami, you first need to choose a sequence of bead types, an attraction rule between bead types, and a delay factor $\delta$. If you want, you can also add a seed, which is a set of beads initially present. The beads will then get transcribed and attach to the beads around them that maximize the number of bonds by the attraction rule. |
[[Category:Self-assembly]] | [[Category:Self-assembly]] |
Revision as of 09:32, 28 July 2016
Overview
Oritatami is a model of molecular folding based on co-transcriptional folding. It is intended to model the fact that in molecular folding, the folding process does not wait until the end of the production to begin. Oritatami means folding, in Japanese. It is an extension of DNA origami, hence the name. Despite being algorithmically easy to predict (in polynomial time in the length of the sequence), it is surprisingly powerful: it can simulate Turing machines with only a polynomial overhead. To program Oritatami, you first need to choose a sequence of bead types, an attraction rule between bead types, and a delay factor \(\delta\). If you want, you can also add a seed, which is a set of beads initially present. The beads will then get transcribed and attach to the beads around them that maximize the number of bonds by the attraction rule.