Utilizing machine learning algorithms in computer science for drug repurposing DOI Open Access

Niela Rambocas,

Claire B. Joseph

International Journal of Engineering in Computer Science, Journal Year: 2021, Volume and Issue: 3(2), P. 41 - 43

Published: July 1, 2021

This research article explores the application of machine learning (ML) algorithms in computer science for drug repurposing. The study involves using various ML techniques to analyze pharmaceutical data and identify potential new uses existing drugs. aim is demonstrate efficacy uncovering hidden correlations predicting drug-target interactions, which can significantly streamline repurposing process.

Language: Английский

Deep Learning in Drug Repurposing: A Review of the CoV-DrugX Module within the CoV-DrugX Pipeline DOI Open Access

Agrima Chopra,

Apurva Rustagi,

Sumit Tanwar

et al.

Published: April 11, 2024

A comprehensive overview of the integration deep learning techniques in drug repurposing, particularly focusing on CoV-DrugX module within Pipeline. The paper highlights significance repurposing accelerating treatment discovery, especially context COVID-19 pandemic. It discusses emergence methods, such as recurrent neural networks (RNNs), graph convolutional (GCNs), and long short-term memory (LSTM) networks, predicting drug-target interactions identifying repurposable drugs. review emphasizes role extracting informative features, improving enhancing repositioning, handling large-scale data effectively. Additionally, it explores applications advantages showcasing its potential to revolutionize field by complex relationships from extensive datasets. abstract sets stage for a detailed examination DrugX module's capabilities Pipeline, shedding light contributions discovery efforts, fight against COVID-19.

Language: Английский

Citations

0
Anti-Wrinkle Natural Cosmeceuticals DOI
Abhiruj Navabhatra,

Napaporn Lakkana,

Ratsapat Patoomnakul

et al.

Advances in chemical and materials engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 299 - 334

Published: Oct. 25, 2024

The increasing demand for youthful, radiant skin has driven the skincare industry to innovate, particularly through development of natural cosmeceuticals. This chapter explains efficacy these products, focusing on their capacity reduce wrinkles—a primary sign aging. authors examine clinical trials and case studies understand cellular molecular mechanisms by which ingredients contribute health anti-wrinkle effects. Additionally, address challenges related stability compatibility in formulations, alongside alignment with consumer preferences market trends. concludes assessing potential benefits cosmeceuticals antiaging treatments identifying key areas future research. goal presented is advance science pragmatically leveraging research enhance product development.

Language: Английский

Citations

0
Utilizing machine learning algorithms in computer science for drug repurposing DOI Open Access

Niela Rambocas,

Claire B. Joseph

International Journal of Engineering in Computer Science, Journal Year: 2021, Volume and Issue: 3(2), P. 41 - 43

Published: July 1, 2021

This research article explores the application of machine learning (ML) algorithms in computer science for drug repurposing. The study involves using various ML techniques to analyze pharmaceutical data and identify potential new uses existing drugs. aim is demonstrate efficacy uncovering hidden correlations predicting drug-target interactions, which can significantly streamline repurposing process.

Language: Английский

Citations

0