MotViz 2.0 Protein Motif Finding and Visualization Tool that Accurately Predicts Conserved Structural and Functional Sites

Abstract

Protein motif and domain finding is a' very crucial part of understanding protein family structure and function. Many tools, computational, experimental or combined, have already been developed to get at this problem. MotViz is an iteration over its predecessor with the same name; However it is modified in the sense that it uses information theory based concepts to surmise structurally and functionally important sites that can be tallied with the InterPro and ScanProsite databases. MotViz tool predicts structurally and functional important sites, highlighting regions that are conserved at a continuous stretch of 6-30 amino acids. In the test dataset MotViz correctly predicts the site for Flavirus Glycoprotein domain and voltage-dependent potassium channel beta subunit. This tool can be a first step toward building more complex statistical and machine learning algorithms in order to optimize and characterize these evolutionarily important sequences. The code can be viewed at https:llgithub.com/nadzhau/MotVizPy and the online server for conservation score generation is athttps:IIMotViz.herokuapp.com/.