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There may be two alternative specifications of a distinctive interaction in any pharmacological space.
A distinctive interaction can be measured either as high c, d or high c and low s.
The creative power of evolution arises from a distinctive interaction between chance and necessity, between random mutation and natural selection.
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Members of the paraMORC2 possess a strongly conserved ExxxH motif in the C-terminal part of their S5 domain, which might form a distinctive substrate interaction site of this family.
Test 6 establishes the advantage of d as a potential filter of distinctive interactions.
One is a methodological contribution as we provide a mathematical basis for identifying distinctive interactions, commonly studied as activity cliffs in literature.
Test 6 gives the significance of variation as a refined filter of rare distinctive interactions.
The d measure yields maximally distinctive interactions as n is increased, implying distinctiveness at multiple levels.
The methods provide a basis for practitioners and pharmacologists to identify distinctive interactions and the region of chemical space that they are probable to be observed in.
In this paper, we develop a quantitative method to predict the probability of finding distinctive interactions using these measures and try to interpret them.
However, these methods and specifications of cliff (or distinctive) interactions are rather insufficient as they are threshold driven and offer a descriptive analysis of patterns.
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