Thomas Blaschke

ORCID：0000-0003-2674-799X

发表论文 32 篇 · 总被引 4921 次 · h-index 14

代表论文

• REINVENT 2.0: An AI Tool for De Novo Drug Design (2020 · Journal of Chemical Information and Modeling · 被引 472)
• Exploring the GDB-13 chemical space using deep generative models (2019 · Journal of Cheminformatics · 被引 220)
• Memory-assisted reinforcement learning for diverse molecular de novo design (2020 · Journal of Cheminformatics · 被引 137)
• REINVENT 2.0 – an AI Tool for De Novo Drug Design (2020 · ChemRxiv · 被引 53)
• Machine Learning Distinguishes with High Accuracy between Pan-Assay Interference Compounds That Are Promiscuous or Represent Dark Chemical Matter (2018 · Journal of Medicinal Chemistry · 被引 34)
• Fine-tuning of a generative neural network for designing multi-target compounds (2021 · Journal of Computer-Aided Molecular Design · 被引 32)