Ola Engkvist

Researcher Next ID · RN-039205

Researcher · Biochemistry, Genetics and Molecular Biology

Munich, Finland

Accepting doctoral researchersFunding unknown

Research interests

Biochemistry, Genetics and Molecular Biology

Computer Science

Environmental Science

Materials Science

Computational Drug Discovery Methods

Machine Learning in Materials Science

Protein Structure and Dynamics

Chemical Synthesis and Analysis

Chemistry and Chemical Engineering

Molecular representations in AI-driven drug discovery: a review and practical guide
Journal of Cheminformatics · 2020 · 10.1186/s13321-020-00460-5
REINVENT 2.0: An AI Tool for De Novo Drug Design
Journal of Chemical Information and Modeling · 2020 · 10.1021/acs.jcim.0c00915
Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis
Journal of Medicinal Chemistry · 2020 · https://doi.org/10.1021/acs.jmedchem.9b02120
A de novo molecular generation method using latent vector based generative adversarial network
Journal of Cheminformatics · 2019 · 10.1186/s13321-019-0397-9
Computational prediction of chemical reactions: current status and outlook
Drug Discovery Today · 2018 · https://doi.org/10.1016/j.drudis.2018.02.014
The rise of deep learning in drug discovery
Drug Discovery Today · 2018 · 10.1016/j.drudis.2018.01.039
Molecular de-novo design through deep reinforcement learning
Journal of Cheminformatics · 2017 · 10.1186/s13321-017-0235-x
Application of Generative Autoencoder in De Novo Molecular Design
Molecular Informatics · 2017 · https://doi.org/10.1002/minf.201700123

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