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Ola Engkvist
Scholar

Ola Engkvist

Google Scholar ID: YJnPv6kAAAAJ
AstraZeneca R&D Gothenburg Orcid:0000-0003-4970-6461
CheminformaticsDrug DiscoveryMachine LearningSemantic Web TechnologiesOpen Innovation
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Citations & Impact
All-time
Citations
15,988
 
H-index
60
 
i10-index
155
 
Publications
20
 
Co-authors
184
list available
Publications
7 items
Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness?
2026
Cited
0
Bridging Chemists and AI: An Expert-Augmented Framework for Interpretable Route Evaluation
2026
Cited
0
Confidence is the key: how conformal prediction enhances the generative design of permeable peptides
2026
Cited
0
FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
2025
Cited
0
Exploring Modularity of Agentic Systems for Drug Discovery
2025
Cited
0
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design
2025
Cited
0
Diversity-Aware Reinforcement Learning for de novo Drug Design
arXiv.org · 2024
Cited
1
Co-authors
6 total
Lewis Mervin
Lewis Mervin
AstraZeneca
Jean-Louis Reymond
Jean-Louis Reymond
University of Bern
Samuel Genheden
Samuel Genheden
R&D AstraZeneca, Gothenburg
Jon Paul Janet
Jon Paul Janet
AstraZeneca R&D
Lars Carlsson
Lars Carlsson
RTHS and CRML, University of London, Jönköping University
Eva Nittinger
Eva Nittinger
Computational Chemistry, BioPharmaceuticals R&D, Early R&I, AstraZeneca