Protein–RNA interaction prediction with deep learning: structure matters

J Wei, S Chen, L Zong, X Gao, Y Li - Briefings in bioinformatics, 2022 - academic.oup.com
Protein–RNA interactions are of vital importance to a variety of cellular activities. Both
experimental and computational techniques have been developed to study the interactions …

In silico molecular docking in DNA aptamer development

TN Navien, R Thevendran, HY Hamdani, TH Tang… - Biochimie, 2021 - Elsevier
Aptamers are single-stranded DNA or RNA oligonucleotides generated by SELEX that
exhibit binding affinity and specificity against a wide variety of target molecules. Compared …

[HTML][HTML] Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet

H Zhu, Y Yang, Y Wang, F Wang, Y Huang… - Nature …, 2023 - nature.com
RNA-binding proteins play crucial roles in the regulation of gene expression, and
understanding the interactions between RNAs and RBPs in distinct cellular conditions forms …

Transcriptome-wide discovery of coding and noncoding RNA-binding proteins

R Huang, M Han, L Meng… - Proceedings of the …, 2018 - National Acad Sciences
Transcriptome-wide identification of RNA-binding proteins (RBPs) is a prerequisite for
understanding the posttranscriptional gene regulation networks. However, proteomic …

[HTML][HTML] SONAR discovers RNA-binding proteins from analysis of large-scale protein-protein interactomes

KW Brannan, W Jin, SC Huelga, CAS Banks… - Molecular cell, 2016 - cell.com
RNA metabolism is controlled by an expanding, yet incomplete, catalog of RNA-binding
proteins (RBPs), many of which lack characterized RNA binding domains. Approaches to …

ProNA2020 predicts protein–DNA, protein–RNA, and protein–protein binding proteins and residues from sequence

J Qiu, M Bernhofer, M Heinzinger, S Kemper… - Journal of molecular …, 2020 - Elsevier
The intricate details of how proteins bind to proteins, DNA, and RNA are crucial for the
understanding of almost all biological processes. Disease-causing sequence variants often …

DescribePROT: database of amino acid-level protein structure and function predictions

B Zhao, A Katuwawala, CJ Oldfield… - Nucleic Acids …, 2021 - academic.oup.com
We present DescribePROT, the database of predicted amino acid-level descriptors of
structure and function of proteins. DescribePROT delivers a comprehensive collection of 13 …

Advances in the characterization of RNA‐binding proteins

D Marchese, NS de Groot… - Wiley …, 2016 - Wiley Online Library
From transcription, to transport, storage, and translation, RNA depends on association with
different RNA‐binding proteins (RBPs). Methods based on next‐generation sequencing and …

Assessing the performance of MM/PBSA and MM/GBSA methods. 8. Predicting binding free energies and poses of protein–RNA complexes

F Chen, H Sun, J Wang, F Zhu, H Liu, Z Wang, T Lei… - Rna, 2018 - rnajournal.cshlp.org
Molecular docking provides a computationally efficient way to predict the atomic structural
details of protein–RNA interactions (PRI), but accurate prediction of the three-dimensional …

regulation of the cancer epigenome by long non-coding RNAs

ME Forrest, AM Khalil - Cancer Letters, 2017 - Elsevier
Long non-coding RNAs have emerged as highly versatile players in the regulation of gene
expression in development and human disease, particularly cancer. Hundreds of lncRNAs …