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RESEARCH PAPER · ChemRxiv · 2023

Graph transformer neural network for chemical reactivity prediction

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Open in your workspace →Saved 2026-10-14 · complete coverage
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Graph transformer neural network for chemical reactivity predictionOriginalDeep interactome learning for de novo drug design3RetroSynthNet: A Sequence-to-Sequence Model for Retrosynthesis1Motif-Based Graph Learning for Synthetic Reaction Condition Prediction0

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  1. Deep interactome learning for de novo drug design

    ChemRxiv · 2023-09-18

    Kenneth Atz, Leandro Cotos, Clemens Isert, M. Håkansson, Dorota Focht, David F. Nippa, Mattis Hilleke, Michael Iff, Jann Ledergerber, Carl C. G. Schiebroek, Jan A. Hiss, Daniel Merk, Petra Schneider, Bernd Kuhn, Uwe Grether, Gisbert Schneider

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  2. RetroSynthNet: A Sequence-to-Sequence Model for Retrosynthesis

    Unknown journal · 2025-05-28

    Innocent Joseph, Yana A. Bekeneva, Onah Samuel Adakole, T. Muhammad, Rimven Nansel Peter

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  3. Motif-Based Graph Learning for Synthetic Reaction Condition Prediction

    Journal of Chemical Information and Modeling · 2026-08-10

    Jiayi Zhang, Yujie Chen, Zhou Yu, Yiwei Liu, Bosheng Song, Sisi Yuan, Yiping Liu

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