AIMC Topic: RNA, Small Interfering
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iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations.
BMC biology
May 9, 2025
BACKGROUND: Exploring piRNA-disease associations can help discover candidate diagnostic or prognostic biomarkers and therapeutic targets. Several computational methods have been presented for identifying associations between piRNAs and diseases. Howe...
siRNADiscovery: a graph neural network for siRNA efficacy prediction via deep RNA sequence analysis.
Briefings in bioinformatics
Sep 23, 2024
The clinical adoption of small interfering RNAs (siRNAs) has prompted the development of various computational strategies for siRNA design, from traditional data analysis to advanced machine learning techniques. However, previous studies have inadequ...
Inhibition of choline kinase as an antiamoebic approach in Entamoeba histolytica infection.
Tropical biomedicine
Dec 1, 2023
Entamoeba histolytica is the parasite responsible for amoebiasis, which can result in amoebic colitis or amoebic liver abscess. Metronidazole has been the conventional treatment for intestinal amoebiasis, but concerns regarding resistance have emerge...
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants.
Briefings in functional genomics
May 18, 2023
Antiviral defenses are one of the significant roles of RNA interference (RNAi) in plants. It has been reported that the host RNAi mechanism machinery can target viral RNAs for destruction because virus-derived small interfering RNAs (vsiRNAs) are fou...
ILGBMSH: an interpretable classification model for the shRNA target prediction with ensemble learning algorithm.
Briefings in bioinformatics
Nov 19, 2022
Short hairpin RNA (shRNA)-mediated gene silencing is an important technology to achieve RNA interference, in which the design of potent and reliable shRNA molecules plays a crucial role. However, efficient shRNA target selection through biological te...
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning.
Briefings in bioinformatics
May 20, 2021
Accumulated researches have revealed that Piwi-interacting RNAs (piRNAs) are regulating the development of germ and stem cells, and they are closely associated with the progression of many diseases. As the number of the detected piRNAs is increasing ...
PVsiRNAPred: Prediction of plant exclusive virus-derived small interfering RNAs by deep convolutional neural network.
Journal of bioinformatics and computational biology
Dec 1, 2019
Plant exclusive virus-derived small interfering RNAs (vsiRNAs) regulate various biological processes, especially important in antiviral immunity. The identification of plant vsiRNAs is important for understanding the biogenesis and function mechanism...
[Down-regulated PTTG1 expression promotes the senescence of human prostate cancer LNCaP-AI].
Zhonghua nan ke xue = National journal of andrology
Mar 1, 2019
OBJECTIVE: To investigate the effect of the down-regulated expression of pituitary tumor-transforming gene 1 (PTTG1) on the senescence of human castration-resistant prostate cancer LNCaP-AI cells.
[Downregulation of PTTG1 expression inhibits the proliferation and invasiveness and promotes the apoptosis of human prostate cancer LNCaP-AI cells].
Zhonghua nan ke xue = National journal of andrology
Jul 1, 2017
OBJECTIVE: To investigate the effects of down-regulation of PTTG1 expression on the proliferation, invasiveness and apoptosis of androgen-independent human prostate cancer LNCaP-AI cells and their sensitivity to androgen antagonists.
A Dual Targeting Drug Delivery System for Penetrating Blood-Brain Barrier and Selectively Delivering siRNA to Neurons for Alzheimer's Disease Treatment.
Current pharmaceutical biotechnology
Jan 1, 2017
BACKGROUND: Alzheimer's disease (AD) is one of most serious threats to human beings, however, the treatment is hindered by blood-brain barrier and poor intra-brain cell selectivity.
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