Hey guys,

I've been working on a high-throughput method of analyzing a riboswitch structure and sequence to generate a list of comparable statistics to determine if there are any global features that describe the behavior of a 'good' riboswitch, which could then be used as predictive statistics. Right now, I've managed to implement the ability to decompose a riboswitch into a series of functional domains, the interactions between domains, as well as general domain order for exclusion FMN switches.

Currently, I'm working to try and determine a general "distance" that individual bases move as the structures switch, and some other statistics I'm working on include:

-How many predicted base pairs break and form in each state, and at the smaller scale, for the individual helices. This includes information about the type and number of pairs, as well as helix length.

-Are there any correlations between base pair/helix free energies and the ability to switch?

-implementation of statistics for a 9-model system

So as a call out to the community, are there other interesting statistics that you can think of that may be generated from the predicted secondary structure or sequence? Also, if somebody knows how to mine the Eterna dataset for the predicted native structures for all parameters and states, that would be greatly appreciated.

I've been working on a high-throughput method of analyzing a riboswitch structure and sequence to generate a list of comparable statistics to determine if there are any global features that describe the behavior of a 'good' riboswitch, which could then be used as predictive statistics. Right now, I've managed to implement the ability to decompose a riboswitch into a series of functional domains, the interactions between domains, as well as general domain order for exclusion FMN switches.

Currently, I'm working to try and determine a general "distance" that individual bases move as the structures switch, and some other statistics I'm working on include:

-How many predicted base pairs break and form in each state, and at the smaller scale, for the individual helices. This includes information about the type and number of pairs, as well as helix length.

-Are there any correlations between base pair/helix free energies and the ability to switch?

-implementation of statistics for a 9-model system

So as a call out to the community, are there other interesting statistics that you can think of that may be generated from the predicted secondary structure or sequence? Also, if somebody knows how to mine the Eterna dataset for the predicted native structures for all parameters and states, that would be greatly appreciated.

Brourd

As for the snt separation, what kind of statistics are you looking for? I have some ideas, including:

-counting the number of helices that have these features

-a count of the number of helices that may switch from a structure with greater separation of helices to a smaller separation (this one may take a bit more time I would imagine)

-Some kind of helical length comparison for these features. My thought would be that if I can find a db with a collection of co-axial stacked helices, I can try to do a comparative search, or possibly create some kind of scoring system, which can then be compared against the predicted helices in our designs.

What other thoughts do you have?