Jonas Boström

Universeum — Sweden

Computer Science · Physical Sciences

30h-index6.2kcitations80works0.02yr avg
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Research Topics

Computational Drug Discovery Methods(36), Machine Learning in Materials Science(13), Chemical Synthesis and Analysis(11), Innovative Microfluidic and Catalytic Techniques Innovation(9), Advanced Chemical Physics Studies(7)

Publications80 total

QUEST-DRIVEN EXPLORATION OF INTERACTIVE INSTALLATIONS IN SCIENCE CENTRES
EDULEARN proceedings·2023Open Access
Detoxified synthetic bacterial membrane vesicles as a vaccine platform against bacteria and SARS-CoV-2
Journal of Nanobiotechnology·2023· 23 citedOpen Access
On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods
Journal of Chemical Information and Modeling·2022· 37 citedOpen Access
On the value of using 3D-shape and electrostatic similarities in deep generative methods
2022Open Access
On the value of using 3D-shape and electrostatic similarities in deep generative methods
2021Open Access
On the value of using 3D-shape and electrostatic similarities in deep generative methods
2021Open Access
On the value of using 3D-shape and electrostatic similarities in deep generative methods
2021Open Access
On the value of using 3D-shape and electrostatic similarities in deep generative methods
2021Open Access
Reusability report: Learning the language of synthetic methods used in medicinal chemistry
Nature Machine Intelligence·2021· 5 cited
Transformers for future medicinal chemists
Nature Machine Intelligence·2021· 7 cited
A High-Throughput Method for Screening for Genes Controlling Bacterial Conjugation of Antibiotic Resistance
mSystems·2020· 29 citedOpen Access
Can easy chemistry produce complex, diverse, and novel molecules?
Drug Discovery Today·2020· 51 citedOpen Access
Design of a small molecule that stimulates vascular endothelial growth factor A enabled by screening RNA fold–small molecule interactions
Nature Chemistry·2020· 72 citedOpen Access
Can “Easy” Chemistry Produce Complex, Diverse and Novel Molecules?
2020· 9 citedOpen Access
Can “Easy” Chemistry Produce Complex, Diverse and Novel Molecules?
2020· 5 citedOpen Access
Identification and analyses of inhibitors targeting apolipoprotein(a) kringle domains KIV-7, KIV-10, and KV provide insight into kringle domain function
Journal of Biological Chemistry·2020· 13 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in <i>de novo</i> Drug Design
Journal of Chemical Information and Modeling·2019· 204 cited
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 4 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 45 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 1 citedOpen Access
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Frequent Co-authors

Roland Lindh(7), Dean G. Brown(6), Francesco Aquilante(6), Thomas Bondo Pedersen(6), Anders Hogner(3), Niclas Ståhl(3), Göran Falkman(3), Alexander Karlsson(3), Gunnar Mathiason(3), Ola Fjellström(3), Anders Thelin(3), R. N. Beale(3), Peter Bach(3), Kay Brickmann(3), Fredrik R. Zetterberg(3), Tomas Fex(3), Roine I. Olsson(3), Christian Tyrchan(3), Robert J. Young(2), György M. Keserű(2)