Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection

MDS Demirci, A Adan - PeerJ, 2020 - peerj.com
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression found in more
than 200 diverse organisms. Although it is still not fully established if RNA viruses could …

A hybrid CNN-LSTM model for pre-miRNA classification

A Tasdelen, B Sen - Scientific reports, 2021 - nature.com
Abstract miRNAs (or microRNAs) are small, endogenous, and noncoding RNAs construct of
about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs …

MicroRNA targeting

H Ghanbarian, MT Yıldız, Y Tutar - miRNomics: MicroRNA Biology and …, 2022 - Springer
MicroRNAs (miRNAs) are small noncoding elements that play essential roles in the
posttranscriptional regulation of biochemical processes. miRNAs recognize and target …

An innovative paradigm of methods in microRNAs detection: highlighting DNAzymes, the illuminators

M Mahdiannasser, Z Karami - Biosensors and Bioelectronics, 2018 - Elsevier
Abstract miRNAs are short regulatory sequences that monitor gene expression at post-
transcriptional level. miRNAs play outstanding roles in cellular processes and their altered …

Crystalline boron monosulfide nanosheets with tunable bandgaps

H Kusaka, R Ishibiki, M Toyoda, T Fujita… - Journal of Materials …, 2021 - pubs.rsc.org
Two-dimensional (2D) boron monosulfide (BS) nanosheets are predicted to have several
stable phases and unique electronic structures, endowing them with interesting attributes …

Accurate microRNA annotation of animal genomes using trained covariance models of curated microRNA complements in MirMachine

SU Umu, VM Paynter, H Trondsen, T Buschmann… - Cell Genomics, 2023 - cell.com
The annotation of microRNAs depends on the availability of transcriptomics data and expert
knowledge. This has led to a gap between the availability of novel genomes and high …

Genome-wide computational prediction of miRNAs in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) revealed target genes involved in pulmonary …

S Saini, A Saini, CJ Thakur, V Kumar… - Molecular Biology …, 2020 - pmc.ncbi.nlm.nih.gov
The current outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in
China threatened humankind worldwide. The coronaviruses contains the largest RNA …

miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs

J Raad, LA Bugnon, DH Milone, G Stegmayer - Bioinformatics, 2022 - academic.oup.com
Motivation MicroRNAs (miRNAs) are small RNA sequences with key roles in the regulation
of gene expression at post-transcriptional level in different species. Accurate prediction of …

Predicting novel microRNA: a comprehensive comparison of machine learning approaches

G Stegmayer, LE Di Persia, M Rubiolo… - Briefings in …, 2019 - academic.oup.com
Motivation The importance of microRNAs (miRNAs) is widely recognized in the community
nowadays because these short segments of RNA can play several roles in almost all …

Distinguishing mirtrons from canonical miRNAs with data exploration and machine learning methods

G Rorbach, O Unold, BM Konopka - Scientific reports, 2018 - nature.com
Mirtrons are non-canonical microRNAs encoded in introns the biogenesis of which starts
with splicing. They are not processed by Drosha and enter the canonical pathway at the …