Ola Engkvist
AstraZeneca (Singapore)(SG)AstraZeneca (Brazil)(BR)AstraZeneca (Japan)(JP)AstraZeneca (Finland)(FI)AstraZeneca (Sweden)(SE)AstraZeneca (Germany)(DE)Molecular Sciences Institute(US)Chalmers University of Technology(SE)University of Gothenburg(SE)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Chemical Synthesis and Analysis, Analytical Chemistry and Chromatography
Most-Cited Works
- → The rise of deep learning in drug discovery(2018)1,712 cited
- → Molecular de-novo design through deep reinforcement learning(2017)1,373 cited
- → Molecular representations in AI-driven drug discovery: a review and practical guide(2020)548 cited
- → REINVENT 2.0: An AI Tool for De Novo Drug Design(2020)430 cited
- → A de novo molecular generation method using latent vector based generative adversarial network(2019)412 cited
- → Application of Generative Autoencoder in De Novo Molecular Design(2017)402 cited