Marcin Magnus

RNAcentral integrates literature and gene-level data to enhance non-coding RNA sequence analysis and functional understanding.

RNAhub generates RNA multiple sequence alignments and assesses conserved RNA structure using covariation analysis.

The paper identifies differences between protein and RNA structure and proposes RNA-specific methods to improve deep learning models for RNA 3D structure prediction.

The paper introduces RNA3DB, a dataset of structured RNAs designed for training and benchmarking deep learning models, with non-redundant sequence and structure splits to improve generalization.

RNA Masonry assembles RNA fragments into geometrically plausible models using secondary structure constraints and SAXS data.