Drug Design for Global Health

Drug Design for Global Health (dd4gh) is an AI-powered drug discovery platform developed by Medicines for Malaria Venture (MMV) and deepmirror. Built in collaboration with global health researchers and funded in part by the Gates Foundation, it enables scientists working on malaria, tuberculosis and neglected tropical diseases to design, evaluate and prioritise new drug candidates using advanced AI, helping accelerate treatment discovery for diseases that disproportionately affect low- and middle-income countries.

The web-based platform combines generative and predictive AI with pre-trained models developed from curated MMV datasets. Researchers can generate novel molecular designs, analyse large datasets and identify the compounds most likely to succeed in laboratory testing, reducing the time and cost of early-stage drug discovery while making advanced computational tools accessible without requiring machine learning expertise.

Key capabilities:

• Active learning workflows – Continuously improve predictions by incorporating new experimental results.
• Accessible web-based platform – Use advanced AI tools through an intuitive browser-based platform without specialist ML expertise.
• Pre-trained global health models – Explore and optimise molecules using curated MMV data before generating new experimental datasets.
• AI-powered molecule design – Generate and evaluate novel compound ideas using models trained on global health datasets.