STRUCTURAL REVELATION OF HUMAN TRANSMEMBRANE PROTEINS BY SVM

Abstract

Proteomics is a multidisciplinary research area with proteins as the key element. One of the main constituents of the architecture of the human body is Transmembrane Protein with an amino acid as its individual unit at the micro-level. These amino acid sequences yield structural information through the machine learning algorithms and are critical for the underlying diseases. We implemented a Support Vector Machine on the Protein Data Bank of Transmembrane Protein (PDBTM) to harvest the secondary structure of the protein as alpha-helices. The key feature of our approach is that the Graphical User Interface shows the intensity of the helices in a protein by yielding the amount of spirals as a percentage. Higher values reveal more spirals at the secondary structure level and vice versa.