Scientists unlock nature’s green secrets to accelerate drug discovery, delivering eco-friendly pharmaceuticals with exciting potential.
Using organoids to advance equity and inclusion in drug discovery
Addressing the lack of diversity in drug testing, scientists are using organoids from voluntary donors to enhance equity and inclusion.
AI for drug discovery: What can we do?
Artificial intelligence and machine learning are playing increasing roles in drug discovery, potentially saving significant time and money.
Neural networks overcome the setbacks of current computational drug discovery
Computer-aided drug discovery looks to neural networks that can better predict chemical properties to streamline the search for new therapeutics.
A new deep-learning architecture for drug discovery
Convolutional neural networks provide stronger predictive performances for pharmacological assays compared to traditional machine learning models.
Accelerating Drug Discovery for Targeting G Protein-Coupled Receptors
Outstanding structural and pharmacological features of eight unique lipid‐binding receptors, one of the most difficult G protein‐coupled receptor families to study, have been revealed.
Plate reader developed for drug discovery
A new automated fluorescence lifetime imaging plate reader has been used to study aggregation of HIV-1 Gag proteins.
Applications of Transition Metal Catalysis in Drug Discovery and Development
This book documents examples of transition metal catalysis in drug discovery and development from an industrial perspective. Co-edited by Barry Trost, one of the foremost organic research chemists, the authors pay particular attention to transitioning...
Scientists uncover a hepatitis C drug’s hidden structures
The active structure of an oral macrocyclic drug has eluded scientists for years despite its widespread clinical use—that is, until now.
Hair provides first direct evidence of drug use during the Bronze Age
Analyzing human hair from remains recovered in Menorca, researchers say they have provided the earliest direct evidence of drug use.