MicroRNA targeting
MicroRNAs (miRNAs) are small noncoding elements that play essential roles in the
posttranscriptional regulation of biochemical processes. miRNAs recognize and target …
posttranscriptional regulation of biochemical processes. miRNAs recognize and target …
Prediction of linear cationic antimicrobial peptides active against gram-negative and gram-positive bacteria based on machine learning models
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional
antibiotics in order to overcome the growing problems of antibiotic resistance …
antibiotics in order to overcome the growing problems of antibiotic resistance …
MicroRNA categorization using sequence motifs and k-mers
Background Post-transcriptional gene dysregulation can be a hallmark of diseases like
cancer and microRNAs (miRNAs) play a key role in the modulation of translation efficiency …
cancer and microRNAs (miRNAs) play a key role in the modulation of translation efficiency …
44 current challenges in miRNomics
Mature microRNAs (miRNAs) are short RNA sequences about 18–24 nucleotide long, which
provide the recognition key within RISC for the posttranscriptional regulation of target RNAs …
provide the recognition key within RISC for the posttranscriptional regulation of target RNAs …
Computational detection of microRNA targets
PG Nachtigall, LA Bovolenta - miRNomics: MicroRNA Biology and …, 2022 - Springer
MicroRNAs (miRNAs) are small noncoding RNAs that are recognized as posttranscriptional
regulators of gene expression. These molecules have been shown to play important roles in …
regulators of gene expression. These molecules have been shown to play important roles in …
Ensemble classifiers for multiclass microRNA classification
Gene regulation is of utmost importance to cell homeostasis; thus, any dysregulation in it
often leads to disease. MicroRNAs (miRNAs) are involved in posttranscriptional gene …
often leads to disease. MicroRNAs (miRNAs) are involved in posttranscriptional gene …
Distinguishing between intra-genomic helitron families using time-frequency features and random forest approaches
Since its discovery in the promoter of ADC1 (Arginine Decarboxylase 1) gene in Arabidopsis
thaliana, the helitron never stopped drawing the attention of researchers. Helitrons belong to …
thaliana, the helitron never stopped drawing the attention of researchers. Helitrons belong to …
Antimicrobial peptide activity prediction using machine learning methods
ÜG Söylemez - 2023 - acikerisim.agu.edu.tr
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional
antibiotics in order to overcome the growing problems of antibiotic resistance …
antibiotics in order to overcome the growing problems of antibiotic resistance …
Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional
antibiotics in order to overcome the growing problems of antibiotic resistance …
antibiotics in order to overcome the growing problems of antibiotic resistance …
44 Current Challenges in miRNomics
Mature microRNAs (miRNAs) are short RNA sequences about 18–24 nucleotide long, which
provide the recognition key within RISC for the posttranscriptional regulation of target RNAs …
provide the recognition key within RISC for the posttranscriptional regulation of target RNAs …