# Locus

Intology extended its autonomous discovery system Locus from language-model post-training to molecular discovery, comparing it at matched compute against prior state-of-the-art methods from BioHub and Boltz and against frontier LLM agents Codex and Claude Code on molecular property prediction, small-molecule potency prediction and antibody design. On Boltz-2 adaptation across six targets, Locus reached a mean Spearman correlation of 0.622, against 0.225 for the Boltz-2.1 API, 0.450 for Claude Code and 0.569 for Codex. In antibody design, Locus reached comparable binding scores with 1.5–2.8× fewer generated candidates, but those scores are OpenDDE ipSAE proxies and still need wet-lab validation.

Intology extended its autonomous discovery system Locus from language-model post-training to molecular discovery, comparing it at matched compute against prior state-of-the-art methods from BioHub and Boltz and against frontier LLM agents Codex and Claude Code on molecular property prediction, small-molecule potency prediction and antibody design. On Boltz-2 adaptation across six targets, Locus reached a mean Spearman correlation of 0.622, against 0.225 for the Boltz-2.1 API, 0.450 for Claude Code and 0.569 for Codex. In antibody design, Locus reached comparable binding scores with 1.5–2.8× fewer generated candidates, but those scores are OpenDDE ipSAE proxies and still need wet-lab validation.