Lewis Mervin
AstraZeneca (United Kingdom)(GB)AstraZeneca (Singapore)(SG)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Cell Image Analysis Techniques, Protein Structure and Dynamics, Biosimilars and Bioanalytical Methods
Most-Cited Works
- → Reinvent 4: Modern AI–driven generative molecule design(2024)204 cited
- → Optimizing the Cell Painting assay for image-based profiling(2023)148 cited
- → Target prediction utilising negative bioactivity data covering large chemical space(2015)139 cited
- → Trisubstituted-Imidazoles Induce Apoptosis in Human Breast Cancer Cells by Targeting the Oncogenic PI3K/Akt/mTOR Signaling Pathway(2016)130 cited
- → MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information(2023)99 cited
- → JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations(2023)97 cited
- → Uncertainty quantification in drug design(2020)85 cited
- → Toward Understanding the Cold, Hot, and Neutral Nature of Chinese Medicines Using in Silico Mode-of-Action Analysis(2017)62 cited
- → Novel Adamantanyl-Based Thiadiazolyl Pyrazoles Targeting EGFR in Triple-Negative Breast Cancer(2016)51 cited
- → Comparison of Chemical Structure and Cell Morphology Information for Multitask Bioactivity Predictions(2021)50 cited