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iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network - ScienceDirect
iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network - ScienceDirect

CLIP and complementary methods | Nature Reviews Methods Primers
CLIP and complementary methods | Nature Reviews Methods Primers

Blind tests of RNA–protein binding affinity prediction | PNAS
Blind tests of RNA–protein binding affinity prediction | PNAS

PDF] RNA-bioinformatics: Tools, services and databases for the analysis of RNA-based regulation. | Semantic Scholar
PDF] RNA-bioinformatics: Tools, services and databases for the analysis of RNA-based regulation. | Semantic Scholar

Frontiers | Structural Characterization of the RNA-Binding Protein SERBP1 Reveals Intrinsic Disorder and Atypical RNA Binding Modes
Frontiers | Structural Characterization of the RNA-Binding Protein SERBP1 Reveals Intrinsic Disorder and Atypical RNA Binding Modes

A deep learning framework to predict binding preference of RNA constituents on protein surface | Nature Communications
A deep learning framework to predict binding preference of RNA constituents on protein surface | Nature Communications

RNA-binding proteins in neurodegeneration: Seq and you shall receive: Trends in Neurosciences
RNA-binding proteins in neurodegeneration: Seq and you shall receive: Trends in Neurosciences

Targeting RNA:protein interactions with an integrative approach leads to the identification of potent YBX1 inhibitors | eLife
Targeting RNA:protein interactions with an integrative approach leads to the identification of potent YBX1 inhibitors | eLife

In-cell identification and measurement of RNA-protein interactions | Nature Communications
In-cell identification and measurement of RNA-protein interactions | Nature Communications

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks | BMC Genomics | Full Text
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks | BMC Genomics | Full Text

Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures | Cell Research
Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures | Cell Research

Insights into RNA Biology from an Atlas of Mammalian mRNA-Binding Proteins - ScienceDirect
Insights into RNA Biology from an Atlas of Mammalian mRNA-Binding Proteins - ScienceDirect

DrugPred_RNA—A Tool for Structure-Based Druggability Predictions for RNA Binding Sites | Journal of Chemical Information and Modeling
DrugPred_RNA—A Tool for Structure-Based Druggability Predictions for RNA Binding Sites | Journal of Chemical Information and Modeling

Genes | Free Full-Text | Bioinformatics Tools and Benchmarks for Computational Docking and 3D Structure Prediction of RNA-Protein Complexes
Genes | Free Full-Text | Bioinformatics Tools and Benchmarks for Computational Docking and 3D Structure Prediction of RNA-Protein Complexes

Global profiling of RNA-binding protein target sites by LACE-seq | Nature Cell Biology
Global profiling of RNA-binding protein target sites by LACE-seq | Nature Cell Biology

RBPsuite: RNA-protein binding sites prediction suite based on deep learning | BMC Genomics | Full Text
RBPsuite: RNA-protein binding sites prediction suite based on deep learning | BMC Genomics | Full Text

Frontiers | PredPRBA: Prediction of Protein-RNA Binding Affinity Using Gradient Boosted Regression Trees
Frontiers | PredPRBA: Prediction of Protein-RNA Binding Affinity Using Gradient Boosted Regression Trees

IJMS | Free Full-Text | Computational Prediction of RNA-Binding Proteins and Binding Sites
IJMS | Free Full-Text | Computational Prediction of RNA-Binding Proteins and Binding Sites

Computational approaches for the analysis of RNA–protein interactions: A primer for biologists | Semantic Scholar
Computational approaches for the analysis of RNA–protein interactions: A primer for biologists | Semantic Scholar

Discovering protein-binding RNA motifs with a generative model of RNA sequences - ScienceDirect
Discovering protein-binding RNA motifs with a generative model of RNA sequences - ScienceDirect

RNA-bioinformatics: Tools, services and databases for the analysis of RNA-based regulation - ScienceDirect
RNA-bioinformatics: Tools, services and databases for the analysis of RNA-based regulation - ScienceDirect

Frontiers | RNA Binding Proteins and Regulation of mRNA Translation in Erythropoiesis
Frontiers | RNA Binding Proteins and Regulation of mRNA Translation in Erythropoiesis

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence - ScienceDirect
HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence - ScienceDirect

Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures | Cell Research
Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures | Cell Research

RNANetMotif: Identifying sequence-structure RNA network motifs in RNA-protein binding sites | PLOS Computational Biology
RNANetMotif: Identifying sequence-structure RNA network motifs in RNA-protein binding sites | PLOS Computational Biology