New prediction categories in CASP15

A Kryshtafovych, M Antczak… - Proteins: Structure …, 2023 - Wiley Online Library
Prediction categories in the Critical Assessment of Structure Prediction (CASP) experiments
change with the need to address specific problems in structure modeling. In CASP15, four …

Comparative analysis of RNA 3D structure prediction methods: towards enhanced modeling of RNA–ligand interactions

C Nithin, S Kmiecik, R Błaszczyk… - Nucleic Acids …, 2024 - academic.oup.com
Accurate RNA structure models are crucial for designing small molecule ligands that
modulate their functions. This study assesses six standalone RNA 3D structure prediction …

Computational pipeline for reference-free comparative analysis of RNA 3D structures applied to SARS-CoV-2 UTR models

J Gumna, M Antczak, RW Adamiak, JM Bujnicki… - International Journal of …, 2022 - mdpi.com
RNA is a unique biomolecule that is involved in a variety of fundamental biological functions,
all of which depend solely on its structure and dynamics. Since the experimental …

RNAdvisor: a comprehensive benchmarking tool for the measure and prediction of RNA structural model quality

C Bernard, G Postic, S Ghannay… - Briefings in …, 2024 - academic.oup.com
RNA is a complex macromolecule that plays central roles in the cell. While it is well known
that its structure is directly related to its functions, understanding and predicting RNA …

[HTML][HTML] Ribonanza: deep learning of RNA structure through dual crowdsourcing

S He, R Huang, J Townley, RC Kretsch, TG Karagianes… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Prediction of RNA structure from sequence remains an unsolved problem, and progress has
been slowed by a paucity of experimental data. Here, we present Ribonanza, a dataset of …