AIMC Topic: RNA, Messenger

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Therapeutic enzyme engineering using a generative neural network.

Scientific reports Jan 27, 2022
Enhancing the potency of mRNA therapeutics is an important objective for treating rare diseases, since it may enable lower and less-frequent dosing. Enzyme engineering can increase potency of mRNA therapeutics by improving the expression, half-life, ...
Neural Networks, Computer RNA, Messenger Protein Engineering Ornithine Carbamoyltransferase Humans
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sRNARFTarget: a fast machine-learning-based approach for transcriptome-wide sRNA target prediction.

RNA biology Dec 31, 2021
Bacterial small regulatory RNAs (sRNAs) are key regulators of gene expression in many processes related to adaptive responses. A multitude of sRNAs have been identified in many bacterial species; however, their function has yet to be elucidated. A ke...
Transcriptome Bacteria Computational Biology RNA, Messenger Machine Learning Software Gene Expression Profiling Web Browser Databases, Genetic RNA, Bacterial RNA, Small Untranslated
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A novel strategy to uncover specific GO terms/phosphorylation pathways in phosphoproteomic data in Arabidopsis thaliana.

BMC plant biology Dec 14, 2021
BACKGROUND: Proteins are the workforce of the cell and their phosphorylation status tailors specific responses efficiently. One of the main challenges of phosphoproteomic approaches is to deconvolute biological processes that specifically respond to ...
RNA, Messenger Proteome Databases, Protein Microtubules Gene Ontology Arabidopsis Proteins Phosphorylation Arabidopsis Genes, Plant Seedlings RNA, Plant RNA Splicing Phosphoproteins
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Biological features between miRNAs and their targets are unveiled from deep learning models.

Scientific reports Dec 10, 2021
MicroRNAs (miRNAs) are ~ 22 nucleotide ubiquitous gene regulators. They modulate a broad range of essential cellular processes linked to human health and diseases. Consequently, identifying miRNA targets and understanding how they function are critic...
Models, Biological Gene Expression Regulation Mutagenesis Base Pairing Computational Biology RNA, Messenger MicroRNAs Databases, Nucleic Acid RNA Interference Deep Learning Gene Regulatory Networks Humans Algorithms
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Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma).

BMC bioinformatics Nov 24, 2021
BACKGROUND: Liver cancer (Hepatocellular carcinoma; HCC) prevalence is increasing and with poor clinical outcome expected it means greater understanding of HCC aetiology is urgently required. This study explored a deep learning solution to detect bio...
Humans Prognosis Carcinoma, Hepatocellular RNA, Messenger Deep Learning Liver Neoplasms
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Transcorneal delivery of topically applied silver nanoparticles does not delay epithelial wound healing.

NanoImpact Aug 24, 2021
Silver nanoparticles (AgNPs) are a common antimicrobial additive for a variety of applications, including wound care. However, AgNPs often undergo dissolution resulting in release of silver ions, with subsequent toxicity to mammalian cells. The corne...
Rabbits Animals Mammals Metal Nanoparticles Corneal Injuries Silver RNA, Messenger Wound Healing
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Identification of biomarkers for acute leukemia via machine learning-based stemness index.

Gene Aug 16, 2021
Traditional methods to understand leukemia stem cell (LSC)'s biological characteristics include constructing LSC-like cells and mouse models by transgenic or knock-in methods. However, there are some potential pitfalls in using this method, such as r...
RNA-Binding Proteins Neoplastic Stem Cells Databases, Genetic Humans Machine Learning Adaptor Proteins, Signal Transducing Prognosis Leukemia Female Male Transcriptome Gene Regulatory Networks Adult RNA, Messenger Biomarkers, Tumor Leukemia, Myeloid, Acute
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The alterations of miRNA and mRNA expression profile and their integration analysis induced by silica nanoparticles in spermatocyte cells.

NanoImpact Aug 11, 2021
Air pollution and the application of Silica nanoparticles (SiNPs) have increased the risk of human exposure to SiNPs. SiNPs are known to induce cytotoxicity in spermatocyte cells (GC-2spd cells) of mice and male reproductive system damage. However, t...
Fatty Acids Nanoparticles Animals MicroRNAs Spermatocytes Male Silicon Dioxide RNA, Messenger
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Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma.

Future oncology (London, England) Aug 10, 2021
Individualized patient profiling is instrumental for personalized management in hepatocellular carcinoma (HCC). This study built a model based on bidirectional deep neural networks (BiDNNs), an unsupervised machine-learning approach, to integrate mu...
Datasets as Topic Humans Prognosis DNA Methylation Liver Deep Learning Neoplasm Recurrence, Local Cohort Studies Biomarkers, Tumor Disease-Free Survival Epigenesis, Genetic Liver Neoplasms Gene Regulatory Networks Male Female Gene Expression Regulation, Neoplastic Carcinoma, Hepatocellular Middle Aged RNA, Messenger Aged Models, Genetic RNA-Seq Risk Assessment Adult
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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 Deep Learning Mice RNA RNA, Messenger Methylation Adenosine
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