Structure-Activity Relationships and Rational Design Strategies for Radical- Scavenging Antioxidants

This thematic issue highlights the transformative impact of Artificial Intelligence (AI), with a particular focus on Machine Learning (ML) and Deep Learning (DL) techniques, in advancing biomedical research. As a result of these cutting-edge AI methodologies, drug discovery and development are revolutionizing data analysis. Rapid advances in artificial intelligence technologies ...read more

Computer-aided drug design is a rapidly growing research field that continues to gain momentum, attracting increasing interest from the scientific community. This trend is largely driven by the growing utilization of machine learning and artificial intelligence in drug design and discovery. Artificial Intelligence has proven efficacy across various applications, including ...read more

The integration of deep learning and bioinformatics is revolutionizing the field of computer-aided drug development, particularly in the fight against brain tumors one of the most aggressive and lethal types of cancer. Brain tumors present significant challenges due to their heterogeneity and complexity, which require novel approaches for early diagnosis ...read more

This special issue aims to further the advancement of knowledge in drug design, healthcare innovations, and medical solutions by leveraging modern computational techniques. In recent years, computer-aided drug design has transformed the approach to medicinal chemistry, accelerating the drug discovery process and fostering innovation. The goal of this issue is ...read more