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Team:Peking/Project/SensorMining
From 2013.igem.org
Sensor Mining
In order to comprehensively profile aromatics in environment, our toolkit should be equipped with biosensors responding to various aromatic components. Abundant with protein informations, large protein databases like uniprot are ideal gold mines to look for new biobriks. Peking iGEM team has developed a four step sieving method to screen out feasible and well characterized aromatic sensors from the protein database uniprot. This method consists of several computer programs to process massive data and a manual adjustment step to guarantee a reliable result.
Figure 1. The flow chart of sieving aromatic sensors. Step 1, narrowing down the scope of proteins into transcription factors (TFs) in certain organisms; step 2, screening out aromatics related transcription factors; step 3, examining whether the selected transcription factors are well studied; step 4, manual adjustment to verify the feasibility of the selected transcription factors.
