Exact(1)
Many methods have been developed to capture the biological similarity between two compounds for used in drug discovery.
Similar(58)
The clustering algorithm employed in the present study requires a distance matrix, each element of which represents the distance or dissimilarity between two compounds being considered for clustering.
Tanimoto coefficient [15] is a popular indicator for measuring similarity between two compounds [16].
One possible interpretation of these data that could explain the apparent disparity between two compounds like 49 and 46 is that for compounds such as 49 that display large differences between their Aβ42 IC50 and their Aβ38 EC50 one or more of the shorter peptides (e.g., Aβ37, Aβ34, and/or Aβ33) are actually potentiated at concentrations of SGSMs similar to those required for inhibiting Aβ42.
For instance, the similarity between two compounds present in the same FTC category is 1 (maximum).
Therefore, further examination is needed for the difference of the toxic effects between two compounds.
For example, SIMCOMP is an algorithm that calculates a similarity score by determining the maximum common substructure between two compounds.
When similarity between two compounds was represented using the largest similarity score among possible conformer pairs arising from the two compounds (i.e., the "best-conformer-pair" approach), the average similarity scores for randomly selected compounds increased as a function of logarithmic increase in the number of conformer pairs considered per compound pair.
An edge between two conformer nodes indicates that the distance between them is below the d thresh value used for clustering, and the edge between two compound nodes indicates that at least one conformer pair arising from the two compounds is below the d thresh value.
During desiccation, it is converted into the oxidized form glutathione disulphide (GSSG) and the balance between these two compounds is crucial for homeostasis and seed survival.
Demonstration of synergism between the two compounds may be important for clinical trials as the majority of patients recruited to a trial will likely already be on donepezil treatment.
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