This communication shows  a classification model for prediction of mycobacterial promoter sequences (mps), which constitute a very low sequence homology problem. The model developed (mps = –4.664·⁰ξ_M + 0.991·¹ξ_M – 2.432) was intended to predict whether a naturally occurring sequence is an mps or not on the basis of the calculated ^kξ_M value for the corresponding RNA secondary structure. The model predicted 115/135 mps (85.2%) and 100% of control sequences (cs). The detailed results have been published in detail in: Bioorg Med Chem Lett. 2006 Feb;16(3):547-53, the present is a short communications.