EventsMOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Event submissions
Published
with-doi10.3390/MOL2NET-1-b003
This submission belongs to the session 03. USEDAT-01: USA-Europe Data Analysis Training Congress, Cambridge, UK-Bilbao, Spain-Miami, USA, 2015 of the event MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published date
02 Dec, 2015
Citation
Alcides Pérez-Bello, Computational study of mycobacterial promoters with low sequence homology., in Proceedings of MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed., 5 December–15 December 2015, MDPI: Basel, Switzerland, doi: 10.3390/MOL2NET-1-b003
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Computational study of mycobacterial promoters with low sequence homology.

Alcides Pérez-Bello 1
1. Veterinary Medicine Department, Central University of ‘Las Villas’, 54830, Cuba.
Abstract

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.

Keywords
Mycobacteria
Protein synthesis promoters
RNA secondary structure
Manuscript
MOL2NET_Perez_Bello_communication.pdf
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