Accurate RNA 3D structure prediction using a language model …
Nov 21, 2024 · Using an RNA language model (RNA-FM) pretrained on 23,735,169 unannotated RNA sequences and several deep learning modules—including an IPA module that models 3D …
GitHub - ml4bio/RNA-FM: Nature Methods: RNA foundation model …
This repository contains codes and pre-trained models for RNA foundation model (RNA-FM). RNA-FM outperforms all tested single-sequence RNA language models across a variety of …
Multi-purpose RNA language modelling with motif-aware
May 13, 2024 · Here we introduce RNAErnie, an RNA-focused pretrained model built upon the transformer architecture, employing two simple yet effective strategies. First, RNAErnie …
GitHub - yikunpku/RNA-MSM: Nucleic Acids Research 2024：RNA-MSM model …
Jul 22, 2024 · This repository contains codes and pre-trained weight for MSA RNA language model (RNA-MSM) as well as RNA secondary structure and solvent accessibility tasks and …
NuFold: end-to-end approach for RNA tertiary structure …
3 days ago · Lastly, we tried to model RNA dimers with NuFold. Since NuFold is designed for single chain RNA structure prediction, we adopted the linker trick 48,49,50, where two …
[2403.00043] RiNALMo: General-Purpose RNA Language Models …
Feb 29, 2024 · Motivated by the successes of protein language models, we introduce RiboNucleic Acid Language Model (RiNALMo) to unveil the hidden code of RNA. RiNALMo is the largest …
Accurate RNA 3D structure prediction using a language model …
RhoFold+ is an end-to-end language model-based deep learning method to predict RNA three-dimensional structures of single-chain RNAs from sequences. RNA molecules occupy a key …
DesiRNA: structure-based design of RNA sequences with a replica ...
4 days ago · Due to the energy model’s preferences, designed RNA sequences can contain long stretches of a single nucleotide type or only have GC pairs in the helices. To address this in …
Advances in the field of RNA 3D structure prediction and …
Sep 24, 2024 · Recent advancements in RNA three-dimensional (3D) structure prediction have provided significant insights into RNA biology, highlighting the essential role of RNA in cellular …
A deep learning model for characterizing protein-RNA …
Jan 10, 2025 · We developed Reformer, a deep learning model designed to quantitatively predict RNA-protein binding affinity at single-base resolution from cDNA sequences (Figure 1).The …