mACPpred 2.0: Stacked deep learning for anticancer peptide prediction with integrated spatial and probabilistic feature representations
Anticancer peptides (ACPs), naturally occurring molecules with remarkable potential to
target and kill cancer cells. However, identifying ACPs based solely from their primary amino …
target and kill cancer cells. However, identifying ACPs based solely from their primary amino …
MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts
Abstract N6-methyladenosine (m6A) modification, a prevalent epigenetic mark in eukaryotic
cells, is crucial in regulating gene expression and RNA metabolism. Accurately identifying …
cells, is crucial in regulating gene expression and RNA metabolism. Accurately identifying …
DOGpred: A Novel Deep Learning Framework for Accurate Identification of Human O-linked Threonine Glycosylation Sites
O-linked glycosylation is a crucial post-transcriptional modification that regulates protein
function and biological processes. Dysregulation of this process is associated with various …
function and biological processes. Dysregulation of this process is associated with various …
Voting-ac4C: Pre-trained large RNA language model enhances RNA N4-acetylcytidine site prediction
Abstract RNA N4-acetylcytidine (ac4C) modification plays a crucial role in gene expression
regulation. However, existing prediction methods face limitations in capturing RNA …
regulation. However, existing prediction methods face limitations in capturing RNA …
DPNN-ac4C: a dual-path neural network with self-attention mechanism for identification of N4-acetylcytidine (ac4C) in mRNA
Motivation The modification of N4-acetylcytidine (ac4C) in RNA is a conserved epigenetic
mark that plays a crucial role in post-transcriptional regulation, mRNA stability, and …
mark that plays a crucial role in post-transcriptional regulation, mRNA stability, and …
Caps-ac4C: an effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning
Abstract N4-acetylcytidine (ac4C) is a crucial post-transcriptional modification in human
mRNA, involving the acetylation of the nitrogen atom at the fourth position of cytidine. This …
mRNA, involving the acetylation of the nitrogen atom at the fourth position of cytidine. This …
NBCR-ac4C: A Deep Learning Framework Based on Multivariate BERT for Human mRNA N4-Acetylcytidine Sites Prediction
W He, Y Han, Y Zuo, Y Bai, F Guo - Journal of Chemical …, 2024 - ACS Publications
N4-acetylcytidine (ac4C) plays a crucial role in regulating cellular biological processes,
particularly in gene expression regulation and disease development. However, experiments …
particularly in gene expression regulation and disease development. However, experiments …
Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides
Identifying angiotensin-I-converting enzyme (ACE) inhibitory peptides accurately is crucial
for understanding the primary factor that regulates the renin-angiotensin system and for …
for understanding the primary factor that regulates the renin-angiotensin system and for …
How well does the adaptive feature representation learning approach identify human mRNA N4-acetylcytidine sites?
RNA molecules undergo extensive modifications by enzymes known as RNA modification
enzymes. Over 170 different types of these post-transcriptional modifications have been …
enzymes. Over 170 different types of these post-transcriptional modifications have been …
Advances in RNA secondary structure prediction and RNA modifications: Methods, data, and applications
Due to the hierarchical organization of RNA structures and their pivotal roles in fulfilling RNA
functions, the formation of RNA secondary structure critically influences many biological …
functions, the formation of RNA secondary structure critically influences many biological …