3D RNA Graph Representation Methods for Classification of RNA Molecules Using Graph Kernel and Graph Neural Network Methods

Year 2023, , 919 - 934, 29.12.2023

Enes Algül

https://doi.org/10.53433/yyufbed.1256154

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. While the primary and secondary structures of RNA have been extensively studied, the tertiary structure has received relatively less attention. In this article, we present novel approaches for representing 3D RNA structures as graph data, employing geometric measurements such as Base position, Square root velocity function (SRVF), Arc length, and Curvature. Then, we utilise kernel methods and neural network methods to predict RNA functions. Our findings demonstrate the effectiveness of these methodologies in unraveling the functional attributes of RNA molecules, thus enriching our understanding of their complex biological significance.

Keywords

3D RNA Graph Representations, Geometric Measurements, Graph Classifications, Graph Kernels, Graph Neural Networks

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

Abstract

Ribonükleik asitler (RNA'lar), 1B/2B/3B yapısal şekillere sahip nükleik asit türleri olup, yaşamı sürdürmek için hayati öneme sahiptirler. RNA'ların bu yapısal şekilleri, fonksiyonlarıyla yüksek derecede ilişkilidir. RNA'nın birincil ve ikincil yapıları kapsamlı bir şekilde incelenirken, üçüncül yapı nispeten daha az dikkat çekmiştir. Bu makalede, Baz konumu, Karekök hız fonksiyonu (SRVF), Yay uzunluğu ve Eğrilik gibi geometrik ölçümler kullanarak 3B RNA yapılarını grafik verileri olarak temsil etmeye yönelik yeni yaklaşımlar sunuyoruz. Daha sonra, çekirdek (kernel) yöntemleri ve sinir ağı (neural network) yöntemleri kullanarak RNA fonksiyonlarını tahmin ediyoruz. Bulgularımız, bu metodolojilerin RNA moleküllerinin fonksiyonel özelliklerini çözmedeki etkinliğini gösteriyor ve böylece onların karmaşık biyolojik önemine dair anlayışımızı zenginleştiriyor.

Keywords

3B RNA Graf Temsilleri, Geometrik Ölçümler, Graf Çekirdekleri, Graf Sınıflandırmaları, Graf Sinir Ağları

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