Results 261 to 270 of about 752,944 (283)

Cross-domain contrastive graph neural network for lncRNA-protein interaction prediction

Knowledge-Based Systems
Hui Li, Bin Wu, Miaomiao Sun, Zhenfeng Zhu, Kuisheng Chen, H. Ge   +5 more
semanticscholar   +2 more sources

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 ...
Li-Min Jia, Yushi Luan
semanticscholar   +3 more sources

A comprehensive review of methods to study lncRNA–protein interactions in solution

Biochemical Society Transactions, 2022
The long non-coding RNAs (lncRNAs) other than rRNA and tRNA were earlier assumed to be ‘junk genomic material’. However, recent advancements in genomics methods have highlighted their roles not only in housekeeping but also in the progression of diseases like cancer as well as viral infections.
Maulik D. Badmalia, Higor Sette Pereira, M. Quadir Siddiqui, Trushar R. Patel   +3 more
openaire   +2 more sources

LPI-DL: A recurrent deep learning model for plant lncRNA-protein interaction and function prediction with feature optimization

IEEE International Conference on Bioinformatics and Biomedicine, 2020
Predicting lncRNA-protein association is essential for insights into fundamental biological processes and disease etiology in plants and animals. There has been an enormous increment in the number of identified long noncoding RNAs (lncRNAs).
J. Wekesa, Yushi Luan, Jun Meng
semanticscholar   +1 more source

Predicting lncRNA-protein Interactions by Machine Learning Methods: A Review

Current Bioinformatics, 2021
In this work, a review of predicting lncRNA-protein interactions by bioinformatics methods is provided with a focus on machine learning. Firstly, a computational framework for predicting lncRNA-protein interactions is presented. Then, the currently available data resources for the predictions have been listed. The existing methods will be reviewed by
openaire   +1 more source

Identification of lncRNA–Protein Interactions by CLIP and RNA Pull-Down Assays

2021
The emerging data indicates that long noncoding RNAs (lncRNAs) are involved in fundamental biological processes, and their deregulation may lead to oncogenesis and other diseases. LncRNA fulfil its biological functions at least in part by interacting with distinctive proteins.
Kunming, Zhao, Xingwen, Wang, Ying, Hu
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, 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
openaire   +2 more sources

LncRNA CCDC144NL-AS1/hsa-miR-143-3p/HMGA2 interaction in-silico and clinical prospect implicated in CRC progression, correlated to tumor stage and tumor size in a case-controlled study.

International Journal of Biological Macromolecules, 2023
Unravel the regulatory mechanism of lncRNA CCDC144NL-AS1 in CRC hsa-miR-143-3p, downstream protein HMGA2 interaction arm, association with clinicopathological characteristics.
Yasmine K. Abd El Fattah, A. Abulsoud, Sherihan G AbdelHamid, Sherif Abdelhalim, N. Hamdy   +4 more
semanticscholar   +1 more source

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
openaire   +1 more source

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
openaire   +2 more sources