Article-Journal

HLAPepBinder: An Ensemble Model for The Prediction Of HLA-Peptide Binding

Background: Human leukocyte antigens (HLAs) play a pivotal role in orchestrating the host’s immune response, offering a promising …

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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 …
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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 …
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Adverse drug reaction prediction using voting ensemble training approach
Identifying and controlling adverse drug reactions (ADRs) is a challenging problem in the pharmacological field. For instance, the drug …
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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 …
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BioAct-Het: A heterogeneous siamese neural network for bioactivity prediction using novel bioactivity representation
Drug failure during experimental procedures due to low bioactivity presents a significant challenge. To mitigate this risk and enhance …
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BioAct-Het: A heterogeneous siamese neural network for bioactivity prediction using novel bioactivity representation
DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing

Background

Drug repurposing is an approach that holds promise for identifying new therapeutic uses for existing drugs. Recently, …

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Prediction of metabolite–protein interactions based on integration of machine learning and constraint-based modeling

Motivation

Metabolite–protein interactions play an important role in regulating protein functions and metabolism. Yet, predictions of …

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DrugRep-KG: toward learning a unified latent space for drug repurposing using knowledge graphs
Drug repurposing or repositioning (DR) refers to finding new therapeutic applications for existing drugs. Current computational DR …
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DrugRep-KG: toward learning a unified latent space for drug repurposing using knowledge graphs
Biomarker prediction in autism spectrum disorder using a network-based approach

Background

Autism is a neurodevelopmental disorder that is usually diagnosed in early childhood. Timely diagnosis and early initiation …

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