Results 241 to 250 of about 285,592 (275)

Integrative multi-omics analysis reveals the drug-protein-ceRNA regulatory network in acute ischemic stroke. [PDF]

Front Mol Biosci
Kong X, Chen Z, Lu H, Gao X, Zhou X, Su H, Teng J, You H, Ge H.   +8 more
europepmc   +1 more source

The Role of lncRNA GAS5 in Oxidative Stress and Mitochondrial Dysfunction in Age-Related Cataracts: Insights From Transcriptome Profiling. [PDF]

Invest Ophthalmol Vis Sci
Kong D, Liu Y, Li L, Wang H, Li K, Zhang T, Qi N, Zheng G.   +7 more
europepmc   +1 more source

LncPTPred: predicting lncRNA–protein interaction based on crosslinking and immunoprecipitation (CLIP-Seq) data [PDF]

Briefings in Bioinformatics
Abstract Long noncoding RNA (lncRNA)–protein Interaction (LPI) across diverse biological systems, directly and indirectly, regulates various cellular processes. Experimental assays to recognize the protein binding partners of lncRNAs are highly time-consuming and expensive.
Zhumur Ghosh, Ghosh Zhumur
exaly   +5 more sources

IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction [PDF]

Frontiers in Genetics, 2018
Qi Zhao, Wen Zhang, Hongsheng Liu
exaly   +2 more sources

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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
openaire   +2 more sources

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
openaire   +2 more sources

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.
Ao Li, Mengqu Ge, Minghui Wang
exaly   +2 more sources

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
openaire   +2 more sources