Let’s try out the Strategy Market feature with some simple criteria…

50% of pairs are UA

Free energy = -1.5 * number of pairs [e.g. -48 kcal if there are 32 pairs]

Melting point between 77 and 97°C

Let’s try out the Strategy Market feature with some simple criteria…

50% of pairs are UA

Free energy = -1.5 * number of pairs [e.g. -48 kcal if there are 32 pairs]

Melting point between 77 and 97°C

Dear dejerpha,

Your strategy has been added to our implementation queue with task id 5. You can check the schedule of the implementation here.

ETA of the implementation is tomorrow 6/4/2011

Thanks for sharing your idea!

EteRNA team

Dear dejerpha,

We are glad to report that your strategy has been implemented and tested.

While implementing your strategy, we have made small changes to the parameters you specified to optimize the performance. Specifically, 44% was used for the UA pairs percentage instead of 50%.

Note that we’ll always run a optimization over the parameters you specify, so you won’t have to worry about fine tuning all the numbers you use. Just the idea and rough numbers are enough to run your algorithm!

**Length** : Your strategy was implmented with **20** line of code.

**Ordering** : We ran your strategy on all synthesized designs and ordered them based on predicted scores. The correlation of your

strategy’s ordering with the ordering based on the actual scores was **0.233**. (1.0 is the best score, -1.0 is the worst score. A

completely random prediction would have 0 correlation)

Please note that the numbers specified above will change in future as we’ll rerun your algorithm whenever new synthesis data is available.

More detailed result has been posted on the strategy market page. Thank you for sharing your idea, and we look forward to other brilliant strategies from you!

Dear dejerpha,

We made a change in the way we score the ordering. (Detail : Before if your algorithm said score of A and B is the same when they are not, it decreased your ordering score. In the new scoring, such decision does neither increase nor decreases your ordering score).

Your **ordering score** is now **0.294**