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 = –4.664·0ξM + 0.991·1ξM – 2.432) was intended to predict whether a naturally occurring sequence is an mps or not on the basis of the calculated kξM 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.
Computational study of mycobacterial promoters with low sequence homology.
Published: 02 December 2015 by MDPI AG in MOL2NET, International Conference on Multidisciplinary Sciences session Medicinal Chemistry, Pharmacology, Biotechnology, and Drug Discovery
Keywords: Mycobacteria; Protein synthesis promoters; RNA secondary structure