Results 11 to 20 of about 71,586 (234)

Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network

BMC Bioinformatics, 2021
Background Long noncoding RNAs (lncRNAs) play important roles in multiple biological processes. Identifying LncRNA–protein interactions (LPIs) is key to understanding lncRNA functions.
Ying Li, Hang Sun, Shiyao Feng, Qi Zhang, Siyu Han, Wei Du   +5 more
doaj   +2 more sources

LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification

BMC Bioinformatics, 2021
Background Long noncoding RNAs (lncRNAs) have dense linkages with a plethora of important cellular activities. lncRNAs exert functions by linking with corresponding RNA-binding proteins. Since experimental techniques to detect lncRNA-protein interactions
Liqian Zhou, Qi Duan, Xiongfei Tian, He Xu, Jianxin Tang, Lihong Peng   +5 more
doaj   +2 more sources

LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification

BMC Bioinformatics, 2021
Background Long noncoding RNAs (lncRNAs) play important roles in various biological and pathological processes. Discovery of lncRNA–protein interactions (LPIs) contributes to understand the biological functions and mechanisms of lncRNAs.
Liqian Zhou, Zhao Wang, Xiongfei Tian, Lihong Peng   +3 more
doaj   +2 more sources

l-α-Lysophosphatidylinositol (LPI) aggravates myocardial ischemia/reperfusion injury via a GPR55/ROCK-dependent pathway [PDF]

Pharmacology Research & Perspectives, 2019
The phospholipid l-α-lysophosphatidylinositol (LPI), an endogenous ligand for GPR55, is elevated in patients with acute coronary syndrome, and a GPR55 antagonist cannabidiol (CBD) reduces experimental ischemia/reperfusion (I/R) injury.
Jönsson-Rylander, Ann Cathrine, Lipina, Christopher, Robertson-Gray, Olivia J., Ryberg, Erik, Wainwright, Cherry L., Walsh, Sarah K.   +5 more
core   +4 more sources

LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification

BioData Mining, 2021
Background Long noncoding RNAs (lncRNAs) have dense linkages with various biological processes. Identifying interacting lncRNA-protein pairs contributes to understand the functions and mechanisms of lncRNAs. Wet experiments are costly and time-consuming.
Lihong Peng, Ruya Yuan, Ling Shen, Pengfei Gao, Liqian Zhou   +4 more
doaj   +2 more sources

LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information

IEEE Access, 2019
Long non-coding RNA, also known as lncRNA, is a series of single-stranded polynucleotides (no less than 200 nucleotides each), consisting of non-protein coding transcripts.
Cong Shen, Yijie Ding, Jijun Tang, Limin Jiang, Fei Guo   +4 more
doaj   +2 more sources

Targeting the LPI/GPR55 Axis in MAFLD and MASH: Novel Insights, Therapeutic Strategies and Future Directions. [PDF]

Liver Int
ABSTRACT Metabolic dysfunction‐associated fatty liver disease (MAFLD), recently redefined from non‐alcoholic fatty liver disease (NAFLD), highlights the central role of metabolic dysfunction in its pathophysiology. The L‐α‐lysophosphatidylinositol/G protein‐coupled receptor 55 (LPI/GPR55) axis, an element of the endocannabinoidome, has emerged as a key
Lian J, Lareu RR, Patil M, Falasca M.
europepmc   +2 more sources

LPI Radar Signals Modulation Recognition Based on ACDCA-ResNeXt

IEEE Access, 2023
For low probability of intercept (LPI) radar waveform identification accuracy (ACC) problem at low Signal-to-Noise Ratios (SNRs), an approach based on time-frequency analysis (TFA) and Asymmetric Dilated Convolution Coordinate Attention Residual networks
Xudong Wang, Guiguang Xu, He Yan, Daiyin Zhu, Ying Wen, Zehu Luo   +5 more
semanticscholar   +1 more source

Saturated fatty acids increase LPI to reduce FUNDC1 dimerization and stability and mitochondrial function

EMBO Reports, 2023
Ectopic lipid deposition and mitochondrial dysfunction are common etiologies of obesity and metabolic disorders. Excessive dietary uptake of saturated fatty acids (SFAs) causes mitochondrial dysfunction and metabolic disorders, while unsaturated fatty ...
Linbo Chen, Qianping Zhang, Yuanyuan Meng, Tian Zhao, Chenglong Mu, Changying Fu, Caijuan Deng, Jianyu Feng, Siling Du, Wei Liu, Guangfeng Geng, K. Ma, Hongcheng Cheng, Qiangqiang Liu, Qian Luo, Jiaojiao Zhang, Zhanqiang Du, Lin Cao, Hui Wang, Yong Liu, Jianping Lin, Guo Chen, Lei Liu, S. Lam, G. Shui, Yushan Zhu, Quan Chen   +26 more
semanticscholar   +1 more source

LPI Radar Signal Recognition Based on Dual-Channel CNN and Feature Fusion

Symmetry, 2022
The accuracy of low probability of intercept (LPI) radar waveform recognition is an important and challenging problem in electronic warfare. Aiming at the problem of the difficulty in feature extraction and the low recognition rates of the LPI radar ...
Daying Quan, Zeyu Tang, Xiaofeng Wang, Wenchao Zhai, Chongxiao Qu   +4 more
semanticscholar   +1 more source