Work

Leading artificial intelligence–driven drug discovery platforms: 2025 landscape and global outlook

Year: 2025

Type: article

Source: Pharmacological Reviews

DOI: 10.1016/j.pharmr.2025.100102

Authors: Mahendiran Dharmasivam, Busra Kaya, Adedoyin Akinware, Mahan Gholam Azad, Des R. Richardson

Institution: Griffith University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Thrasher Research Fund, National Breast Cancer Foundation, Griffith University, Tour de Cure, Australian Research Council, National Health and Medical Research Council

Awards: G2337203496, G3094260312, Biomedical Investigations of Pharmacology and Pathology for Disease Treatment, The “New” Biochemistry of Polyamines: When Metabolic Pathways Collide, G4732141083, G498747171, Pharmacological and Pharmaceutical Development of Novel Drugs for Multiple Major Disease States, G6445754366, G6486721332, G6882648124

OpenAlex ID: W4416118654

FWCI: 16.65

Cites: 267

Cited by: 35

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