Naslov
Evaluation of RNA Atom Distance Prediction Models

Autori
Šarić, Jelena

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Mjesto
Zagreb

Datum
17.02

Godina
2022

Stranica
37

Mentor
Šikić, Mile

Neposredni voditelj
Bosnić, Filip

Ključne riječi
RNA ; folding ; model ; deep-learning ; analysis

Sažetak
RNA molecules can fold and form connections with themselves. Since such transformations lead to various possible three-dimensional structures and a diversity of corresponding functions, the knowledge of such structures is of great importance. The RNAFold model predicts a three- dimensional RNA structure using deep learning methods and practices that have shown remarkable progress in related problems. This thesis aims to analyse different model configurations to get an overview and a direction in the first stages of RNAFold’s implementation. By observing multiple performance metrics, the objective is to find a correlation between model architecture and performance, and determine which factors may improve current model implementation.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA