RPI-EDLCN: An Ensemble Deep Learning Framework Based on Capsule Network for ncRNA-Protein Interaction Prediction.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.3c00377
Abstract: Noncoding RNAs (ncRNAs) play crucial roles in many cellular life activities by interacting with proteins. Identification of ncRNA-protein interactions (ncRPIs) is key to understanding the function of ncRNAs. Although a number of computational methods for… read more here.
Keywords: network; edlcn; rpi edlcn; deep learning ... See more keywords
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information
Sign Up to like & getrecommendations! Published in 2020 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-3406-0
Abstract: Background The interactions between non-coding RNAs (ncRNA) and proteins play an essential role in many biological processes. Several high-throughput experimental methods have been applied to detect ncRNA-protein interactions. However, these methods are time-consuming and expensive.… read more here.
Keywords: protein; protein interactions; framework; ncrna protein ... See more keywords
Construction of Complex Features for Computational Predicting ncRNA-Protein Interaction
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2019.00018
Abstract: Non-coding RNA (ncRNA) plays important roles in many critical regulation processes. Many ncRNAs perform their regulatory functions by the form of RNA-protein complexes. Therefore, identifying the interaction between ncRNA and protein is fundamental to understand… read more here.
Keywords: protein interaction; model; complex features; ncrna protein ... See more keywords
SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.839540
Abstract: Non-coding RNAs (ncRNAs) take essential effects on biological processes, like gene regulation. One critical way of ncRNA executing biological functions is interactions between ncRNA and RNA binding proteins (RBPs). Identifying proteins, involving ncRNA-protein interactions, can… read more here.
Keywords: ncrna protein; stacking ensemble; protein interactions; sequence information ... See more keywords
RPITER: A Hierarchical Deep Learning Framework for ncRNA–Protein Interaction Prediction
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms20051070
Abstract: Non-coding RNAs (ncRNAs) play crucial roles in multiple fundamental biological processes, such as post-transcriptional gene regulation, and are implicated in many complex human diseases. Mostly ncRNAs function by interacting with corresponding RNA-binding proteins. The research… read more here.
Keywords: protein; protein interaction; rpiter; deep learning ... See more keywords