Instructions for using LearnCoil-Histidine Kinase on the Web

The LearnCoil algorithm is a general iterative method that extends the two-stranded coiled coil prediction program PairCoil to the identification of other types of coiled coil-like motifs. Here, we have applied LearnCoil to histidine kinase receptors, and have used it to build a table derived from the coiled coil-like motif in this protein family. Use this form to evaluate sequences with the LearnCoil histidine kinase table.

The LearnCoil histidine kinase table is not designed for general coiled coil prediction. For coiled coil prediction, please use the PairCoil or MultiCoil programs.

The LearnCoil-Histidine Kinase program takes two arguments: a name for the sequence (this is optional) and the amino acid sequence. The name may be set in the uppermost dialog box, labeled "Sequence Name"; the name is only for labelling the output graphs. The amino acid sequence itself should be input into the bottom dialog box, which is labeled "Sequence:". The program ignores any whitespace, such as returns and tabs, as well as '*'s.

Click on the "Submit Sequence" button to run the program. A page displaying the LearnCoil-Histidine Kinase program's analysis of your amino acid sequence using the histidine kinase table will follow.

If at any time you wish to start over, click on the "Reset Form" button next to the "Submit Sequence" button.

Rights and Documentation

The LearnCoil-Histidine Kinase program is described in:

  Mona Singh, Bonnie Berger,  Peter S. Kim, 
  James Berger and Andrea Cochran. 

"Computational Learning Reveals Coiled Coil-Like Motifs in Histidine Kinase Linker Domains,"

Proceedings of the National Academy of Science USA, volume 95, number 6, pages 2738-2743, March 1998.

[LearnCoil-Histidine Kinase Form]