Sciweavers

IDEAL
2007
Springer

Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning

14 years 5 months ago
Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific physico-chemical properties that will discriminate them from proteins in other species. In this paper, we examine the validity of this assumption by comparing proteins and their properties from different bacterial species using Support Vector Machines (SVM). We show that by training on selected protein sequence properties, SVMs can successfully discriminate between proteins of different species. This finding takes us a step closer to inferring the functional characteristics of these proteins.
Ali Al-Shahib, David Gilbert, Rainer Breitling
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where IDEAL
Authors Ali Al-Shahib, David Gilbert, Rainer Breitling
Comments (0)