Linde Schoenmaker
PhD candidate
- Name
- L. Schoenmaker MSc
- Telephone
- +31 71 527 4607
- l.schoenmaker@lacdr.leidenuniv.nl
- ORCID iD
- 0000-0001-9879-1004
![](/binaries/content/gallery/ul2/portraits/science/s/schoenmaker_linde_1.jpg/schoenmaker_linde_1.jpg/d200x250)
In 2016, because of my interest in biology and chemistry, I started with the Bio-Pharmaceutical Sciences Bachelor at Leiden University. After completing the bachelor and having found that I really enjoyed the computational research side of drug discovery I decided to focus my master's program on this field, doing the Bio-Pharmaceutical Sciences Master at Leiden University. During the master's, I performed a 9-month research internship at the LACDR with the group of Prof.dr. Gerard van Westen developing a new tool for de novo drug design. Afterward, I also did an internship at the LIACS under the supervision of Dr. Lu Cao, working on image analysis methods for the characterization of cardiotoxicity. After finishing my master’s degree, I decided to start a Ph.D. position at the LACDR under the supervision of the aforementioned Prof.dr. Gerard van Westen. I will be working on the Virtual Human Platform for safety assessment. This project aims to do animal-free predictions of the toxicity of novel chemicals using computational methods. I will specifically be looking into modeling ligand-target interactions, in order to bridge the gap between the exposure in the body to a chemical and potential adverse outcomes.
PhD candidate
- Science
- Leiden Academic Centre for Drug Research
- LACDR/Medicinal Chemistry
- Maagdenberg H.W. van den, Šícho Martin A.D.A., Luukkonen S., Schoenmaker L., Jespers M., Béquignon O.J.M., Gorostiola González M.G., Broek R.L. van den, Bernatavicius R., Hasselt J.G.C. van, Graaf P.H. van der & Westen G.J.P. van (2024), QSPRpred: a flexible open-source quantitative structure-property relationship modelling tool, Journal of Cheminformatics 16: 128.
- Cao L., Schoenmaker L., Den S.A. ten, Passier R., Schwach V. & Verbeek F.J. (2023), Automated sarcomere structure analysis for studying cardiotoxicity in human pluripotent stem cell-derived cardiomyocytes, Microscopy and Microanalysis 29(1): 254-264.
- Schoenmaker L., Béquignon O.J.M., Jespers W. & Westen G.J.P. van (2023), UnCorrupt SMILES: a novel approach to de novo design, Journal of Cheminformatics 15(1): 22.
- Sicho M., Luukkonena S., Maagdenberg H.W. van den, Schoenmaker L., Bequignon O.J.M. & Westen G.J.P. van (2023), DrugEx: deep learning models and tools for exploration of drug-like chemical space. [working paper].