AI & Drug Discovery

10 summarised stories about AI & Drug Discovery, each linking back to the original source. Browse all topics →

Thursday, 11 June 2026

Can LLMs discover quantum error correction codes?

IBM Research 1 month ago

IBM researchers developed an evolutionary workflow guided by large language models to discover quantum error correction codes, which are mathematical constructions that protect quantum information by introducing redundancy. The framework discovered 465 new error correction codes, including one with a logical qubit count of 50 compared to the previous record of 16, and codes requiring only 72 physical qubits. The work demonstrates that LLMs can accelerate the exploration of quantum error correction code design space, potentially enabling researchers to more comprehensively understand trade-offs between code properties and identify candidates for fault-tolerant quantum computing systems.

AI & Drug Discovery Large Language Models Quantum Computing

How a Google DeepMind Spin-off Hunts Hidden Drug Targets

IEEE Spectrum AI 1 month ago

Isomorphic Labs, a Google DeepMind spin-off, developed the Isomorphic Drug Design Engine to identify hidden protein binding pockets and predict drug-protein interactions beyond what existing AlphaFold models can achieve. The system successfully predicted a previously unknown cryptic pocket on cereblon protein that was only recently published in a Nature paper in January. The tool aims to make more disease-associated proteins tractable as drug targets by modeling interactions with small molecules, antibodies, peptides, and other therapeutic compounds.

AI & Drug Discovery AI Innovation & Testing Google DeepMind Protein Structure Prediction