newsOpenAITrust 88 · LabPublished 2mo agoLive · 1mo ago
A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry
OpenAI and Molecule.one show how a near-autonomous AI chemist using GPT-5.4 improved a key drug-making reaction, advancing medicinal chemistry research.
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- LinkedLinked via unknownBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark →
- PossiblePossibly related (embedding) · 49%pydantic/pydantic-ai →
- PossiblePossibly related (embedding) · 59%NVIDIA-BioNeMo/bionemo-recipes →
- PossiblePossibly related (embedding) · 46%An Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous Solubility →
- PossiblePossibly related (embedding) · 49%URSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis Assessment →
- PossiblePossibly related (embedding) · 56%AspirinCode/awesome-AI4MolConformation-MD →
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paperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarkpaperAgentic generation of verifiable rules for deterministic, self-expanding reaction classificationpaperSynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profilesrepopydantic/pydantic-airepoNVIDIA-BioNeMo/bionemo-recipespaperAn Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous SolubilitypaperURSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis AssessmentrepoAspirinCode/awesome-AI4MolConformation-MDrepodralgroup/mlatom
Related across the graph
paperSynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profilesrepodralgroup/mlatompaperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarkrepoAspirinCode/awesome-AI4MolConformation-MDrepopydantic/pydantic-aipaperURSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis AssessmentpaperAn Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous SolubilityrepoNVIDIA-BioNeMo/bionemo-recipespaperAgentic generation of verifiable rules for deterministic, self-expanding reaction classification