AIMC Topic: Adenosine

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EDLmAPred: ensemble deep learning approach for mRNA mA site prediction.

BMC bioinformatics May 29, 2021
BACKGROUND: As a common and abundant RNA methylation modification, N6-methyladenosine (mA) is widely spread in various species' transcriptomes, and it is closely related to the occurrence and development of various life processes and diseases. Thus, ...
Animals RNA Methylation Adenosine Deep Learning Mice RNA, Messenger
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DNN-m6A: A Cross-Species Method for Identifying RNA N6-Methyladenosine Sites Based on Deep Neural Network with Multi-Information Fusion.

Genes Feb 28, 2021
As a prevalent existing post-transcriptional modification of RNA, N6-methyladenosine (m6A) plays a crucial role in various biological processes. To better radically reveal its regulatory mechanism and provide new insights for drug design, the accurat...
Adenosine Mice Sequence Analysis, RNA Humans RNA Neural Networks, Computer Animals
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HSM6AP: a high-precision predictor for the Homo N6-methyladenosine (m^6 A) based on multiple weights and feature stitching.

RNA biology Feb 12, 2021
Recent studies have shown that RNA methylation modification can affect RNA transcription, metabolism, splicing and stability. In addition, RNA methylation modification has been associated with cancer, obesity and other diseases. Based on information ...
Gene Expression Regulation Adenosine HeLa Cells Methylation Humans HEK293 Cells Machine Learning Algorithms Computational Biology A549 Cells
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Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations.

Neural networks : the official journal of the International Neural Network Society Jun 2, 2020
N-methyladenosine (mA) is a well-studied and most common interior messenger RNA (mRNA) modification that plays an important function in cell development. NA is found in all kingdoms​ of life and many other cellular processes such as RNA splicing, imm...
Natural Language Processing Adenosine RNA Caps Humans Neural Networks, Computer
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iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm.

Genes May 9, 2020
One of the most common and well studied post-transcription modifications in RNAs is N6-methyladenosine (m6A) which has been involved with a wide range of biological processes. Over the past decades, N6-methyladenosine produced some positive consequen...
Adenosine Genome, Fungal RNA Processing, Post-Transcriptional Datasets as Topic Methylation Saccharomyces cerevisiae RNA, Fungal Algorithms Deep Learning ROC Curve Computational Biology
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Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia.

Journal of neurophysiology Apr 29, 2020
This study quantified eight small-molecule neurotransmitters collected simultaneously from prefrontal cortex of C57BL/6J mice ( = 23) during wakefulness and during isoflurane anesthesia (1.3%). Using isoflurane anesthesia as an independent variable e...
Microdialysis Unconsciousness Nerve Net Anesthetics, Inhalation Adenosine Anesthesia Acetylcholine Prefrontal Cortex Machine Learning Norepinephrine Mice Animals Isoflurane Mice, Inbred C57BL Male Wakefulness
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Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach.

Chemical research in toxicology Mar 11, 2019
Most paraquat (PQ) poisoned patients died from acute multiple organ failure (MOF) such as lung, kidney, and heart. However, the exact mechanism of intoxication is still unclear. In order to find out the initial toxic mechanism of PQ poisoning, a bloo...
Humans Machine Learning Mass Spectrometry Metabolomics Chromatography, High Pressure Liquid Paraquat Adenosine
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EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions.

Analytical biochemistry Jan 18, 2019
RNA editing process like Adenosine to Intosine (A-to-I) often influences basic functions like splicing stability and most importantly the translation. Thus knowledge about editing sites is of great importance in molecular biology. With the growth of ...
Inosine RNA Editing Area Under Curve RNA Adenosine User-Computer Interface ROC Curve Machine Learning
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DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning.

BMC bioinformatics Dec 31, 2018
BACKGROUND: N6-methyladensine (m6A) is a common and abundant RNA methylation modification found in various species. As a type of post-transcriptional methylation, m6A plays an important role in diverse RNA activities such as alternative splicing, an ...
Computational Biology Sequence Analysis, RNA Alternative Splicing Humans Zebrafish Brain Embryonic Stem Cells RNA Animals Liver Neoplasms Methylation Deep Learning Carcinoma, Hepatocellular Adenosine Mice
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BERMP: a cross-species classifier for predicting mA sites by integrating a deep learning algorithm and a random forest approach.

International journal of biological sciences Sep 7, 2018
N-methyladenosine (mA) is a prevalent RNA methylation modification involved in several biological processes. Hundreds or thousands of mA sites identified from different species using high-throughput experiments provides a rich resource to construct ...
Methylation Deep Learning Machine Learning Adenosine Computational Biology Algorithms RNA
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