New article: ““Too soon to tell”? The potential of tools like AggrescanAI for novel drug discovery and development”
Research group: Protein Folding and Conformational Diseases
Summary:
This article discusses the emerging role of artificial intelligence in drug discovery and development, focusing on the potential of AggrescanAI as a sequence-based tool for predicting protein aggregation propensity. The authors review the evolution of computational approaches, highlight the advantages of protein language models, and examine both the opportunities and limitations of these methods for therapeutic protein design and the study of aggregation-related diseases. They conclude that AI-driven tools can significantly improve early-stage decision-making and accelerate drug discovery when used in combination with experimental validation within iterative research workflows.
Article data:
Marino-Buslje, C., & Ventura, S. (2026). “Too soon to tell”? The potential of tools like AggrescanAI for novel drug discovery and development. Expert Opinion on Drug Discovery, 21(7), 721–724. https://doi.org/10.1080/17460441.2026.2686257
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