This Hailp bot enables biologists to estimate the protein localisation sites of E.coli bacteria, given the values of the following attributes:

• [mcg]: McGeoch’s method for signal sequence recognition.
• [gvh]: von Heijne’s method for signal sequence recognition.
• [lip]: von Heijne’s Signal Peptidase II consensus sequence score. (binary)
• [chg]: Presence of charge on N-terminus of predicted lipoproteins (binary)
• [aac]: score of discriminant analysis of the amino acid content of outer membrane and periplasmic proteins.
• [alm1]: score of the ALOM membrane spanning region prediction program.
• [alm2]: score of ALOM program after excluding putative cleavable signal regions from the sequence.

The neural network model has been trained and cross-validated using data from [1]; the predicted location can be any of the following labels: cp, im, imS, imL, imU, om, omL and pp.

Embed me on your own site, add the code:

<iframe style="max-width: 100% !important; border: none; height:180px" width="560" src="https://hailp.com/api/main/loadwidget/493/parent/csvbulk"></iframe>

TRY ME, FILL IN THE FIELDS

Data source: Kenta Nakai, Institue of Molecular and Cellular Biology – Osaka, University