Both phenomena render retrieval of actives trivial.
The third aspect of this study concerns the interpretability of the optimized edge weights because besides a good performance, the information, which parts of the molecule are important for a good retrieval of actives, is valuable for a medicinal chemist.
An user of the visualization should keep in mind that increased edge weights represent atoms that need to be optimally assigned for a good retrieval of actives, which might not coincide with all features that are actually important for a specific binding mode.
Algicidal bacteria have potential applications in control of algal blooms in water body, while retrieval of active algicidal bacteria with high activity is a limiting step for the long-term preservation.
The visualization of the edge weights helps to understand which atoms of the query are important to obtain a good retrieval of active compounds.
Based on their evaluation with the calculation of retrieval rates of active molecules, extended connectivity fingerprints performed best (although only slightly better from the runner-up SEFP4, LCFP4 and FCFP4/6 fingerprints), regardless of diameter (i.e. ECFP4 and ECFP6 performed equally well, the notations are explained in the corresponding reference) [6].
In the literature (including several of the studies cited above) similarity measures are usually compared according to their performance in a few specific scenarios, such as the retrieval of molecules that are active on a specific protein, based on a limited number of reference compounds.
Developed through qualitative focus group methodology, the approach of Longo et al. acknowledges the role of passive receipt and active retrieval of information, as well as the role of relationships with other individuals and health care providers in helping to process and interpret information.
The idea that active retrieval of information from memory improves memory is not a new one: William James proposed this idea in 1890, and Edwina Abbott and Arthur Gates provided support for this idea in the early part of the 20th century (James, 1890; Abbott, 1909; Gates, 1917).
It is likely that, with the evolution of language in the human brain, the more general prelinguistic role of the mid-ventrolateral prefrontal region (BA 45 and 47/12) in the active controlled retrieval of information from posterior cortical areas was adapted for the active retrieval of linguistic information, that becomes more pronounced in the left hemisphere (Petrides, 2006).
The trivial retrieval of these compounds is mainly responsible for the enrichment of actives and the discovery of chemotypes in the first few percent of the data set.
