This chapter presents an overview of ten selected Artificial Intelligence (AI)-driven web platforms designed to support the early stages of the drug discovery process. Its primary aim is to serve as both a practical guide and a critical review for potential users of such platforms, including those without cheminformatics or programming expertise. Additionally, we underline the limitations of these platforms and explore potential enhancements through Human-Centered Design (HCD) strategies to help improve both existing and future web-based platforms for optimal use.

AI-Based Platforms for Drug Discovery: Current Tools and Human-Centered Design Strategies

Lomuscio, Maria Cristina;Papadopoulos, Maria Giovanna Eva;Calvano, Miriana;Nanna, Vittoria;Curci, Antonio;Esposito, Andrea;Corriero, Nicola;Lanzilotti, Rosa;Piccinno, Antonio;Alberga, Domenico;Mangiatordi, Giuseppe Felice
2026-01-01

Abstract

This chapter presents an overview of ten selected Artificial Intelligence (AI)-driven web platforms designed to support the early stages of the drug discovery process. Its primary aim is to serve as both a practical guide and a critical review for potential users of such platforms, including those without cheminformatics or programming expertise. Additionally, we underline the limitations of these platforms and explore potential enhancements through Human-Centered Design (HCD) strategies to help improve both existing and future web-based platforms for optimal use.
2026
9783031980213
9783031980220
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/563400
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