# AlphaFold Database Adds Millions of Complexes — Interaction Scale

Times of AI Desk · 2026-03-16 · Research

[https://timesof.ai/2026/03/alphafold-expands-to-protein-complexes-and-molecular-interactions](https://timesof.ai/2026/03/alphafold-expands-to-protein-complexes-and-molecular-interactions)

> EMBL-EBI, Google DeepMind, NVIDIA, and Seoul National University added millions of AI-predicted protein complexes to the AlphaFold Database — including 1.7M high-confidence homodimers — from predictions for about 30M complexes. Open structural data for systems biology/drug discovery; predictions ≠ wet-lab structures.

**Corrected October 14, 2026:** Corrected the complex count to EMBL's 30 million and the EMBL announcement date to March 16. Re-dated from March 12 to March 16, the date of EMBL's announcement of the expansion, and removed references to coverage published after that date.

Single-chain AlphaFold changed structure prediction. The proprietary jump here is **proteome-scale complexes in the public database** — millions of interaction models prioritized for human health, not another monomer dump.

A collaboration of **EMBL-EBI**, **Google DeepMind**, **NVIDIA**, and **Seoul National University** added millions of AI-predicted protein complex structures to the **AlphaFold Database**, including high-confidence predictions for homodimers and other complexes. Dataset priorities: proteins important for human health and disease; **1.7 million** high-confidence homodimer predictions added, with more planned. The partnership has calculated predictions for **30 million** complexes (1.7 million high-confidence homodimers in the database, 18 million lower-confidence homodimers for bulk download, the rest heterodimers under assessment); open release for systems biology and drug discovery. Early applications framed as hypothesis generation on cellular machinery and potential drug targets.

## Claims vs checks

Database addition and counts are **EMBL-EBI / collaborator primary**. “High-confidence” is model-confidence filtering, not crystallographic confirmation.

## Limits

- Predicted interfaces can err; experimental validation remains required for drug claims.
- Coverage skewed toward prioritized proteomes.

## Sources

- [EMBL: “Millions of protein complexes added to AlphaFold Database”](https://www.embl.org/news/science-technology/first-complexes-alphafold-database) (March 16, 2026).