Promoter sequences are well known to play a central role in gene expression. BacPP is designed to recognize and predict Escherichia coli promoter sequences according to the sigma factor that recognizes the sequence. The specific accuracy for each sigma factor is:
This bioinformatic tool is based on weighted rules extracted from neural networks trained with promoter sequences known to respond to a specific sigma
factor. For promoter sequences belonging to other enterobacteria BacPP maintained 76% accuracy overall.
It is possible to read the complete description of BacPP in the paper:
S. de Avila e Silva, S. Echeverrigaray, G. J. Gerhardt. "BacPP: Bacterial promoter prediction - A tool for accurate sigma-factor specific assignment in enterobacteria
". J. Theor. Biol., 287 (2011), pp. 92–99. Available here.