M
Marcus Olivecrona
Researcher at AstraZeneca
Publications - 5
Citations - 2191
Marcus Olivecrona is an academic researcher from AstraZeneca. The author has contributed to research in topics: Deep learning & Autoencoder. The author has an hindex of 5, co-authored 5 publications receiving 1460 citations.
Papers
More filters
Journal ArticleDOI
The rise of deep learning in drug discovery.
TL;DR: The first wave of applications of deep learning in pharmaceutical research has emerged in recent years, and its utility has gone beyond bioactivity predictions and has shown promise in addressing diverse problems in drug discovery.
Journal ArticleDOI
Molecular de-novo design through deep reinforcement learning
TL;DR: A method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures with certain specified desirable properties is introduced.
Journal ArticleDOI
Application of Generative Autoencoder in De Novo Molecular Design.
TL;DR: In this article, various generative autoencoders were used to map molecule structures into a continuous latent space and vice versa and their performance as a structure generator was assessed, showing that the latent space preserves chemical similarity principle and thus can be used for the generation of analogue structures.
Posted Content
Molecular De Novo Design through Deep Reinforcement Learning
TL;DR: In this article, a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures with certain specified desirable properties is presented.
Posted Content
Application of generative autoencoder in de novo molecular design
TL;DR: The results show that the latent space preserves chemical similarity principle and thus can be used for the generation of analogue structures in autoencoder for de novo molecular design.