Graf Çekirdek ve Graf Sinir Ağı Yöntemlerini Kullanarak RNA Moleküllerini Sınıflandırılmak İçin 3D RNA Graf Temsili Yöntemleri

Abstract: Ribonucleic acids (RNAs) are nucleic acid types with 1D/2D/3D structural shapes and are essential for sustaining life. These structural shapes of the RNAs are highly correlated with their functions. The tertiary structure of the RNA received less attention than the primary and secondary RNA structures. In this article, we introduce 3D RNA representations in graph data form using geometric measurement of distances including Base Position, Square Root Velocity Function (SRVF), Arc Length, and Curvature. Then, we utilise kernel methods and neural network methods to predict RNA functions.