Article-Journal

DRP-VEM: Drug repositioning using voting ensemble model
Conventional approaches to drug discovery are both expensive and time-intensive. To circumvent these challenges, drug repurposing or …
PHLA-SiNet: A novel peptide-HLA binding prediction model using heterogeneous Siamese neural networks
Predicting peptide–HLA binding is crucial for advancing immunotherapy; however, current models face several challenges, including …
Prediction of human-virus protein-protein interaction using heterogeneous siamese neural network
Viral infections represent pathological conditions arising from the intrusion of viruses into host cells and their replication. The …
SimPep and OP-AND: A deep learning framework and curated database for predicting osteogenic peptides
Bone health is a growing concern in aging populations, and bioactive peptides in dairy products offer a promising approach to …
RNA Secondary Structure Prediction Using Heuristic Algorithm
RNAs play a fundamental role in many biological and medical processes and the activity of RNA is directly dependent to itsstructure. …
Molecular landscape of endometrioid Cancer: Integrating multiomics and deep learning for personalized survival prediction
Background The endometrioid subtype of endometrial cancer is a significant health concern for women, making it crucial to study the …
HLAPepBinder: An Ensemble Model for The Prediction Of HLA-Peptide Binding
Background
A novel data augmentation approach for influenza A subtype prediction based on HA proteins
Influenza, a pervasive viral respiratory illness, remains a significant global health concern. The influenza A virus, capable of …
RNA-Protein interaction prediction using transformers and asymmetric Siamese neural network
RNA-protein interactions play essential roles in many biological processes, such as gene regulation and fundamental cellular processes …
Exploring ceRNA networks for key biomarkers in breast cancer subtypes and immune regulation
Breast cancer is a major global health concern, and recent researches have highlighted the critical roles of non-coding RNAs in both …