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Pathogenic Mechanisms in Cervical Cancer: Energy Metabolism, Hypoxia and Therapy. [PDF]

Life (Basel)
Giorgio V, Del Dotto V, Grandi M, Grillini S, Solaini G, Baracca A.   +5 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), 2021
Long 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, Hammad, Naveed, Zoya, Khalid   +2 more
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Deciphering LncRNA–protein interactions using docking complexes

Journal of Biomolecular Structure and Dynamics, 2020
Deciphering 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, Sonal Gupta, Narayan Kumar, Prashanth Suravajhala   +3 more
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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
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LPLSG: Prediction of lncRNA-protein Interaction Based on Local Network Structure

Current Bioinformatics, 2023
Background: 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, Yongqing Wang, Bin Sun, Shihao Liang, Dong Liu, Hongjun Zhang, Xianfang Wang   +6 more
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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
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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
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