Figure 1.

Overall scheme of FitSearch. Although researchers have only one or two yeast fitness profiles to their drugs of interest that have unknown toxicity mechanisms, they can easily perform data-mining against tens of thousands of public fitness profiles in order to obtain insight into the mechanism through the FitSearch website (http://fitsearch.kaist.ac.kr webcite). When any type of yeast fitness profile is submitted as a query in the website, a similarity search to other public resources is performed by rank-cutoff optimizer through the FitSearch engine, which is a newly developed method using rank-based overlapping statistics (see the details in the Methods). Since available public resources are deposited in FitRankDB as a general repository for the FitSearch engine (see the details in the Methods), the similarity search can be performed more efficiently, thoroughly, and rapidly in the FitSearch website. Finally, users scrutinize characteristics of a list of drugs similar to their drug of interest and obtain clues or plausible hypotheses, which could also help them to design further bioassays.

Lee et al. BMC Genomics 2013 14(Suppl 1):S6   doi:10.1186/1471-2164-14-S1-S6