Post-Transcriptional Regulatory Network of Non-Coding RNAs in Yaks: Molecular Mechanisms of Hypoxia Adaptation and Productive Traits. [PDF]
Animals (Basel)Guan H +9 more
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LNC_003296 regulates the proliferation and differentiation of ovine myoblasts by modulating the stability of Hsp70. [PDF]
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Relevance search for predicting lncRNA–protein interactions based on heterogeneous network
Neurocomputing, 2016lncRNA 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.
Mengqu Ge, Ao Li, Minghui Wang
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Predicting lncRNA-protein Interactions by Machine Learning Methods: A Review
Current Bioinformatics, 2021In 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
Zhi-Ping Liu
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A comprehensive review of methods to study lncRNA–protein interactions in solution
Biochemical Society Transactions, 2022The 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 +3 more
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Computational Prediction of lncRNA-Protein Interactions using Machine learning
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021Long non-coding RNAs have generated much scientific interest because of their functional significance in regulating various biological processes and also their dysfunction has been implicated in disease progression. LncRNAs usually bind with proteins to perform their function.
Muhammad Mushtaq +2 more
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Deciphering LncRNA–protein interactions using docking complexes
Journal of Biomolecular Structure and Dynamics, 2020Deciphering RNA-protein interactions are important to study principal biological mechanisms including transcription and translation regulation, gene silencing, among others. Predicting RNA molecule interaction with the target protein could allow us to understand important cellular processes and design novel treatment therapies for various diseases.
Renuka Suravajhala +3 more
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Identification of lncRNA–Protein Interactions by CLIP and RNA Pull-Down Assays
2021The 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
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A deep learning model for plant lncRNA-protein interaction prediction with graph attention
Molecular Genetics and Genomics, 2020Long 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 +2 more
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Cross-domain contrastive graph neural network for lncRNA–protein interaction prediction
Knowledge-Based SystemsHong Ge, Hui Li, Zhenfeng Zhu
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