Geometric deep learning of RNA structure
RNA molecules adopt three-dimensional structures that are critical to their function and of
interest in drug discovery. Few RNA structures are known, however, and predicting them …
interest in drug discovery. Few RNA structures are known, however, and predicting them …
Advances in RNA 3D structure modeling using experimental data
RNA is a unique bio-macromolecule that can both record genetic information and perform
biological functions in a variety of molecular processes, including transcription, splicing …
biological functions in a variety of molecular processes, including transcription, splicing …
trRosettaRNA: automated prediction of RNA 3D structure with transformer network
RNA 3D structure prediction is a long-standing challenge. Inspired by the recent
breakthrough in protein structure prediction, we developed trRosettaRNA, an automated …
breakthrough in protein structure prediction, we developed trRosettaRNA, an automated …
RNA sample optimization for cryo-EM analysis
RNAs play critical roles in most biological processes. Although the three-dimensional (3D)
structures of RNAs primarily determine their functions, it remains challenging to …
structures of RNAs primarily determine their functions, it remains challenging to …
When will RNA get its AlphaFold moment?
The protein structure prediction problem has been solved for many types of proteins by
AlphaFold. Recently, there has been considerable excitement to build off the success of …
AlphaFold. Recently, there has been considerable excitement to build off the success of …
Assessment of three‐dimensional RNA structure prediction in CASP15
The prediction of RNA three‐dimensional structures remains an unsolved problem. Here, we
report assessments of RNA structure predictions in CASP15, the first CASP exercise that …
report assessments of RNA structure predictions in CASP15, the first CASP exercise that …
FARFAR2: improved de novo rosetta prediction of complex global RNA folds
Predicting RNA three-dimensional structures from sequence could accelerate
understanding of the growing number of RNA molecules being discovered across biology …
understanding of the growing number of RNA molecules being discovered across biology …
Accurate RNA 3D structure prediction using a language model-based deep learning approach
Accurate prediction of RNA three-dimensional (3D) structures remains an unsolved
challenge. Determining RNA 3D structures is crucial for understanding their functions and …
challenge. Determining RNA 3D structures is crucial for understanding their functions and …
Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction
RNAs are fundamental in living cells and perform critical functions determined by their
tertiary architectures. However, accurate modeling of 3D RNA structure remains a …
tertiary architectures. However, accurate modeling of 3D RNA structure remains a …
Deep learning models for RNA secondary structure prediction (probably) do not generalize across families
Motivation The secondary structure of RNA is of importance to its function. Over the last few
years, several papers attempted to use machine learning to improve de novo RNA …
years, several papers attempted to use machine learning to improve de novo RNA …