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Discussions explored young people's views with regard to: the software interface; the presentation of information; and the ordering of interaction steps.
The prototype (Fig. 1) was also presented early in the session to engage young people in discussions about their views in regard to the interface, how the information is presented and the ordering of interaction steps.
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We propose there may exist a general requirement to regulate the order of interaction in multi-component RNP assembly reactions by spatial or temporal compartmentalization of individual constituents in the cell.
While in Figure 5b the order of interaction atoms is properly aligned to the target sequence, a collision is caused by the ligand layout.
The order of interaction between benzene and n-alkanes follows the sequence: n-hexane < n-octane < n-decane < n-dodecane < n-tetradecane < n-hexadecane, i.e., the interaction increase with increasing chain length of the n-alkane.
The order of interaction energies predicted by molecular modeling of these compounds is associated with their experimental IC50 values with GIIAPLA2 used as a target.
As the order of interaction increases, both MDR and FMDR shows increasing power values.
Further exhaustive search for higher order interactions becomes computationally impractical because the number of tests increases exponentially with the order of interaction [ 7].
In other words, as the order of interaction increases, the conditional entropy H(P∣ G) tends to decrease, while H(P) remains the same.
We suggest that the function be designed as a dynamic adjustment based on the data set size and the order of interaction.
We suggest the optimal choice for n is the dynamic adjustment according to the order of interaction, i.e., n = 2 with 2-order gene-gene interaction and n = 3 with 3-order gene-gene interaction.
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