Article-Journal

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 …
DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing
Background
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 …
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 …
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 …

Protein sequence profile prediction using ProtAlbert transformer
Profiles are used to model protein families and domains. They are built by multiple sequence alignments obtained by mapping a query …
The assessment of essential genes in the stability of PPI networks using critical node detection problem
Essential genes and proteins as their products encode the basic functions of a cell in a variety of conditions and are vital for the …
The assessment of similarity vectors of fingerprint and UMLS in adverse drug reaction prediction
Identifying and controlling adverse drug reactions is a complex problem in the pharmacological field. Despite the studies done in …
TranDTA: Prediction Of Drug–Target Binding Affinity Using Transformer Representations
Drug discovery is generally difficult, expensive and the success rate is low. One of the essential steps in the early stages of drug …
DRP-VEM: Drug repositioning prediction using voting ensemble
Traditional drug discovery methods are costly and time-consuming. Drug repositioning (DR) is a common strategy to overcome these …