Enhancing molecular machine learning with quantum-chemical insight

Enhancing molecular machine learning with quantum-chemical insight

Credit: Gabe Gomes Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and…

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Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS

Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS

Construction of GeMS dataset To enable self-supervised learning, we mined new large datasets of metabolite MS/MS…

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Advancing molecular machine learning representations with stereoelectronics-infused molecular graphs

Advancing molecular machine learning representations with stereoelectronics-infused molecular graphs

Hoffmann, R. & Laszlo, P. Representation in chemistry. Angew. Chem. Int. Ed. Engl. 30, 1–16 (1991).…

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Large language models for scientific discovery in molecular property prediction

Large language models for scientific discovery in molecular property prediction

Bloom, N., Jones, C. I., Reenen, J. & Webb, M. Are ideas getting harder to find?…

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Scientists use machine learning to develop an opener for a molecular can

Scientists use machine learning to develop an opener for a molecular can

Credit: American Physical Society In an era of medical care that is increasingly aiming at more…

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An explainable deep learning platform for molecular discovery

An explainable deep learning platform for molecular discovery

Wong, F. et al. Leveraging artificial intelligence in the fight against infectious diseases. Science 381, 164–170…

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