newsNature Machine IntelligenceTrust 88 · LabPublished 2mo agoLive · 1mo ago
Bridging three-dimensional molecular structures and artificial intelligence with a conformation description language
Nature Machine Intelligence, Published online: 11 June 2026; doi:10.1038/s42256-026-01250-8 Xiong et al. introduce ConfSeq, a molecular conformation description language that enables language models to perform three-dimensional molecular modelling tasks, including conformer prediction, three-dimensional molecular generation and representation, with strong performance.
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- LinkedLinked via unknownBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark →
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Related across the graph
paperNeural spectroscopy of AlphaFold2 reveals encoded protein conformational landscapespaperSynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profilesrepodralgroup/mlatompaperLocalize, Then Reason: Visual Latent Structural Reasoning for Molecular Properties and EditspaperBeyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) BenchmarkpaperOLEDLM: A Unified Language Model for OLED Molecular DesignpaperGraph Learning on Ensembles of Cyclic Peptides: An Investigation of Molecular Ensemble Modelingrepordk/p2rankrepoAspirinCode/awesome-AI4MolConformation-MDrepochemprop/chemproprepomqcomplab/MDANCEpaperAn Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous SolubilitypaperDo Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraintsrepobrucefan1983/GPUMDpaperDBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction ModelspaperProbing Chemical Language Models: Effects of Pre-training and Fine-tuning
