Boris Sattarov
Paris Biotech Santé(FR)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Analytical Chemistry and Chromatography, Microbial Natural Products and Biosynthesis
Most-Cited Works
- → Improving Chemical Autoencoder Latent Space and Molecular De Novo Generation Diversity with Heteroencoders(2018)197 cited
- → De Novo Molecular Design by Combining Deep Autoencoder Recurrent Neural Networks with Generative Topographic Mapping(2019)167 cited
- → From Target to Drug: Generative Modeling for the Multimodal Structure-Based Ligand Design(2019)136 cited
- → Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning(2020)52 cited
- → Computationally driven discovery of SARS-CoV-2 Mproinhibitors: from design to experimental validation(2022)40 cited
- → Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery(2021)6 cited
- → Deep Learning Insights into Lanthanides Complexation Chemistry(2021)5 cited
- Computationally driven discovery of SARS-CoV-2 Mpro inhibitors: from design to experimental validation (preprint)(2021)