[HTML][HTML] Evaluating native-like structures of RNA-protein complexes through the deep learning method
RNA-protein complexes underlie numerous cellular processes, including basic translation
and gene regulation. The high-resolution structure determination of the RNA-protein …
and gene regulation. The high-resolution structure determination of the RNA-protein …
Recent methodology progress of deep learning for RNA–protein interaction prediction
Interactions between RNAs and proteins play essential roles in many important biological
processes. Benefitting from the advances of next generation sequencing technologies …
processes. Benefitting from the advances of next generation sequencing technologies …
Accurate prediction of nucleic acid and protein-nucleic acid complexes using RoseTTAFoldNA
Protein-nucleic acid complexes play critical roles in biology. Despite considerable recent
advances in protein structure prediction, the prediction of the structures of protein-nucleic …
advances in protein structure prediction, the prediction of the structures of protein-nucleic …
[HTML][HTML] RPI-Bind: a structure-based method for accurate identification of RNA-protein binding sites
RNA and protein interactions play crucial roles in multiple biological processes, while these
interactions are significantly influenced by the structures and sequences of protein and RNA …
interactions are significantly influenced by the structures and sequences of protein and RNA …
A nonredundant structure dataset for benchmarking protein‐RNA computational docking
SY Huang, X Zou - Journal of computational chemistry, 2013 - Wiley Online Library
Protein–RNA interactions play an important role in many biological processes. The ability to
predict the molecular structures of protein–RNA complexes from docking would be valuable …
predict the molecular structures of protein–RNA complexes from docking would be valuable …
Prediction of RNA binding proteins comes of age from low resolution to high resolution
Networks of protein–RNA interactions is likely to be larger than protein–protein and protein–
DNA interaction networks because RNA transcripts are encoded tens of times more than …
DNA interaction networks because RNA transcripts are encoded tens of times more than …
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins
The sequence-based predictors of RNA-binding residues (RBRs) are trained on either
structure-annotated or disorder-annotated binding regions. A recent study of predictors of …
structure-annotated or disorder-annotated binding regions. A recent study of predictors of …
[HTML][HTML] HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence
RNA-binding proteins (RBPs) control RNA metabolism to orchestrate gene expression and,
when dysfunctional, underlie human diseases. Proteome-wide discovery efforts predict …
when dysfunctional, underlie human diseases. Proteome-wide discovery efforts predict …
Structure-based prediction of RNA-binding domains and RNA-binding sites and application to structural genomics targets
Mechanistic understanding of many key cellular processes often involves identification of
RNA binding proteins (RBPs) and RNA binding sites in two separate steps. Here, they are …
RNA binding proteins (RBPs) and RNA binding sites in two separate steps. Here, they are …
[HTML][HTML] Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA
Protein–RNA and protein–DNA complexes play critical roles in biology. Despite
considerable recent advances in protein structure prediction, the prediction of the structures …
considerable recent advances in protein structure prediction, the prediction of the structures …