Drug-discovery AI agents are built for small-molecule, big-pharma settings and lack peptide, in vivo, training-loop, small-lab, and multi-objective capabilities, even though LLMs themselves can reason about peptides.
Agentomics: An agentic system that autonomously develops novel state-of-the-art solutions for biomedical machine learning tasks.bioRxiv, 2026
1 Pith paper cite this work, alongside 1 external citations. Polarity classification is still indexing.
1
Pith paper citing it
1
external citations · OpenAlex
fields
q-bio.QM 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Beyond SMILES: Evaluating Agentic Systems for Drug Discovery
Drug-discovery AI agents are built for small-molecule, big-pharma settings and lack peptide, in vivo, training-loop, small-lab, and multi-objective capabilities, even though LLMs themselves can reason about peptides.