We’re delighted to announce that we have appointed a couple of senior industry figures to be deepmirror’s new scientific advisors. Today, we sit down with Jérémy Besnard, a co-founder of Exscientia, to find out why he’s joined the deepmirror journey:

We’re delighted to announce that we have appointed a couple of senior industry figures to be deepmirror’s new scientific advisors. Today, we sit down with Mark Murcko, a senior lecturer at MIT and legendary drug-hunter, to find out why he’s joined the deepmirror journey:

The Drug Design for Global Health (dd4gh) project, developed by deepmirror in partnership with Medicines for Malaria Venture (MMV), has been named on TIME’s Best Inventions of 2026 list in the Social Impact category.

What is the ROI of AI-driven drug discovery? Pharma R&D burns roughly $300 billion a year, about $6 billion per approved drug. AI today primarily impacts the speed at which drugs are developed, but today's models barely move the needle.

deepmirror has been awarded a Phase 2 Sovereign AI grant as part of Innovate UK’s support for British businesses building world-leading AI technologies.

Medicines for Malaria Venture (MMV) and deepmirror have secured a $5 million grant from the Gates Foundation for the continuation of their partnership on Drug Design for Global Health (dd4gh), an AI-powered drug discovery platform.

Tes Pharma achieved a hit rate exceeding 60% from a billion-scale virtual screen using deepmirror™. This result significantly outperforms typical hit rates of 5-10% for challenging transcription factor targets.

Medicines for Malaria Venture and deepmirror launch open-access research platform designed to remove barriers for scientists, especially in low- and middle-income countries

Cofolding models like AlphaFold3, OpenFold3, Boltz-2, and Chai-1 can generate protein–ligand complexes that look convincing but often break basic chemical rules. In this post, we describe how post-processing steps such as restoring bond types, hydrogens, and realistic geometry can make these AI-predicted poses chemically interpretable and ready for downstream modeling.