Results 251 to 260 of about 6,544,613 (268)
Some of the next articles are maybe not open access.
LPLSG: Prediction of lncRNA-protein Interaction Based on Local Network Structure
Current Bioinformatics, 2023Background: The interaction between RNA and protein plays an important role in life activities. Long ncRNAs (lncRNAs) are large non-coding RNAs, and have received extensive attention in recent years. Because the interaction between RNA and protein is tissue-specific and condition-specific, it is time-consuming and expensive to predict the interaction ...
Wei Wang +6 more
openaire +1 more source
A text feature-based approach for literature mining of lncRNA–protein interactions
Neurocomputing, 2016Long non-coding RNAs (lncRNAs) play important roles in regulating transcriptional and post-transcriptional levels. Currently, Knowledge of lncRNA and protein interactions (LPIs) is crucial for biomedical researches that are related to lncRNA. Many freshly discovered LPIs are stored in biomedical literature.
Ao Li 0001 +3 more
openaire +2 more sources
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022The identification of lncRNA-protein interactions (LPIs) is important to understand the biological functions and molecular mechanisms of lncRNAs. However, most computational models are evaluated on a unique dataset, thereby resulting in prediction bias.
Lihong Peng +4 more
openaire +3 more sources
Diverging RNPs: Toward Understanding lncRNA-Protein Interactions and Functions
2019RNA-protein interactions are essential to a variety of biological processes. The realization that mammalian genomes are pervasively transcribed brought a tidal wave of tens of thousands of newly identified long noncoding RNAs (lncRNAs) and raised questions about their purpose in cells. The vast majority of lncRNAs have yet to be studied, and it remains
openaire +2 more sources
Structure-Based Prediction of lncRNA–Protein Interactions by Deep Learning
The interactions between long noncoding RNA (lncRNA) and protein play crucial roles in various biological processes. Computational methods are essential for predicting lncRNA-protein interactions and deciphering their mechanisms. In this chapter, we aim to introduce the fundamental framework for predicting lncRNA-protein interactions based on three ...Pengpai, Li, Zhi-Ping, Liu
openaire +2 more sources
IEEE Journal of Biomedical and Health Informatics
The complexes of long non-coding RNAs bound to proteins can be involved in regulating life activities at various stages of organisms. However, in the face of the growing number of lncRNAs and proteins, verifying LncRNA-Protein Interactions (LPI) based on traditional biological experiments is time-consuming and laborious. Therefore, with the improvement
Cong Shen +4 more
openaire +3 more sources
The complexes of long non-coding RNAs bound to proteins can be involved in regulating life activities at various stages of organisms. However, in the face of the growing number of lncRNAs and proteins, verifying LncRNA-Protein Interactions (LPI) based on traditional biological experiments is time-consuming and laborious. Therefore, with the improvement
Cong Shen +4 more
openaire +3 more sources
Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021Chen Jin +3 more
openaire +1 more source
Prediction of lncrna-protein interactions based on deep learning model
One main function of long non-coding RNAs (lncRNAs) is to act as a scaffold facilitating multiple proteins to form complexes. Most of available prediction models for protein-RNA interactions, however, were proposed as a binary classifier, which limited on predicting the interaction between the non-coding RNAs and each individual RNA-binding protein ...openaire +1 more source