Results 151 to 160 of about 64,353 (185)

Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
The 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, Chang Wang, Xiongfei Tian, Liqian Zhou, Keqin Li   +4 more
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GILPI: Graphlet Interaction - based lncRNA-Protein Interaction Prediction

Identification of lncRNA-protein interactions is important for understanding the biological functions and molecular mechanisms of lncRNAs. In this study, we proposed a computational model for predicting lncRNA-protein interactions based on Graphlet interactions to find potential LPIs (GILPI). First, five LPI datasets were collected.
Hong-Yi Zhang, Yan Zhou
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A deep learning model for plant lncRNA-protein interaction prediction with graph attention

Molecular Genetics and Genomics, 2020
Long non-coding RNAs (lncRNAs) play a broad spectrum of distinctive regulatory roles through interactions with proteins. However, only a few plant lncRNAs have been experimentally characterized. We propose GPLPI, a graph representation learning method, to predict plant lncRNA-protein interaction (LPI) from sequence and structural information.
Jael Sanyanda Wekesa, Jun Meng, Yushi Luan   +2 more
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LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm

Methods, 2023
Many studies have shown that long-chain noncoding RNAs (lncRNAs) are involved in a variety of biological processes such as post-transcriptional gene regulation, splicing, and translation by combining with corresponding proteins. Predicting lncRNA-protein interactions is an effective approach to infer the functions of lncRNAs.
Minzhu, Xie, Ruijie, Xie, Hao, Wang
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Diverging RNPs: Toward Understanding lncRNA-Protein Interactions and Functions

2019
RNA-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
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Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA–Protein Interactions

Interdisciplinary Sciences: Computational Life Sciences, 2022
Long non-coding RNAs (lncRNAs) have attracted extensive attention due to their important roles in various biological processes, among which lncRNA-protein interaction plays an important regulatory role in plant immunity and life activities. Laboratory methods are time consuming and labor-intensive, so that many computational methods have gradually ...
Lijuan Jia, Yushi Luan
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Relevance search for predicting lncRNA–protein interactions based on heterogeneous network

Neurocomputing, 2016
lncRNA plays important roles in many biological and pathological processes. lncRNAprotein interaction is the most common way of lncRNA performing their functions. Thus, predicting lncRNAprotein interaction is very significant to understand the nature of lncRNA.
Jianghong Yang, Ao Li, Mengqu Ge, Minghui Wang   +3 more
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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
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A text feature-based approach for literature mining of lncRNA–protein interactions

Neurocomputing, 2016
Long 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, Qiguang Zang, Dongdong Sun, Minghui Wang   +3 more
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Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks

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, Dongdong Mao, Jijun Tang, Zhijun Liao, Shengyong Chen   +4 more
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