This thesis aims to test in vitro pipelines to rapidly and cost-effectively identify molecular mechanisms that drive adverse outcomes in clinical use.

Promotor: Prof.dr. M. Danhof, Co-Promotor: J. de Jongh

Benjamin Fogarty-Valenzuela published the article 'Pedagogies of Prohibition: Time, Education, and the War on Drugs in Rio de Janeiro’s Zona Norte' in Cultural Anthropology 37. The article’s three sections focus on three forms of temporal control—busyness, punctuality, and rhythm—and each demonstrates…

Can we develop a generic method for Quan/Qual analysis of small molecule drugs, their metabolites and endogenous metabolites in (pre-)clinical samples?

Although rarely considered by the pharmaceutical industry or clinicians, 24-hour rhythms in physiology are a factor of potential influence on the pharmacokinetics and pharmacodynamics of drugs.

Source: ChemMedChem (2015)

During the course of drug discovery translational steps are made.

This thesis describes the importance of being able to control the selectivity of potential drug candidates.

Another research line is the development of a spatial CNS drug distribution model, by ultimately including the 3-dimensional anatomical organization of the CNS.

Metal complexes and 2D materials like graphene were combined to produce structures that can function as sensors.

Heart failure is a major health care problem with high mortality.

This thesis investigates how non-genetic factors, such as inflammation and concomitant medication, impact hepatic drug metabolism and subsequent drug metabolizing phenotype predictions.

This thesis focuses on the application of lipid-based nanomedicine in drug delivery, including small molecular antitumor drugs and biomacromolecules including mRNA, and evaluates their biological performance.

Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.

Promotor: A. Kros

Human and animal cells are very complex: very different chemical processes are going on at the same time, but they are separated from each other because the cells are divided in compartments. These compartments may also have a profound effect on the potential efficacy of therapeutics, because the drug…

Activity-based protein profiling (ABPP, also termed chemical proteomics), is one of the pillars of chemical biology, and at LED3 we have taken it to the next level. ABPP allows the assessment of protein function in live cells and tissues, which means that the activity of a complete protein family can…

Promotor: A.P. IJzerman Co-promotor: L.H. Heitman

Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.

Promotores: Prof.dr. H. S. Overkleeft, Prof.dr. G. A. van der Marel

Analysis of drug adversity

In this article, Marieke Liem and Kim Moeller revisit Goldstein’s framework on the drugs-violence nexus

The aim of this thesis is to expedite and ensure the systematic accuracy of clearance scaling from adults to paediatric patients, with a special focus on drugs undergoing hepatic metabolism.

High throughput microscopy

Promotor: Prof.dr. A.P. IJzerman, Co-Promotor: Dr. L.H. Heitman

This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.

Discovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates.

Source: Nature Biotechnology, Volume 2014, Issue June (2014)

On 2 April 2025, Anna Marhold, a member of the Peace and Security Committee of the AIV and Assistant Professor at the Grotius Centre for International Legal Studies, joined a technical briefing to parliament providing advice on hybrid threats and societal resilience.

The lack of success of new CNS drugs in clinical development is in part due to the complexity of the CNS, unexpected side effects, difficulties for drugs to penetrate the brain, but also by the lack of biomarkers.

Promotores: C.A.J. Knibbe; J.N. van den Anker, Co-promotores: H.P.A. van Dongen; B. van Ramshorst

From descriptive to physiological models that can predict oral absorption and elimination of CYP3A substrates across the pediatric age range.

Promotor: A.P.IJzerman Co-promotor: A. Bender

Promotor: B. van de Water

He’s a fast and animated speaker, which is only logical because Gerard van Westen is driving an express train. His destination? A virtual human, consisting of algorithms that predict what an administered substance will do in the body. The train is already a long way down the line and the pharmaceutical…

The main aim of this thesis was to unravel the signaling and regulatory networks that drive tumor cell migration during breast cancer metastasis.

Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.

Our annual "Science to Experience" exhibition of student works is hosted by the V2_ Lab for the Unstable Media. This year's theme is "HYBRID".

Supervisor: Lizi Xia

Exploring the mechanism of targeted nanoparticle-mediated drug delivery using the zebrafish model

The path to rational drug and dose selection

The polypept(o)ide hybrid material attracted more and more attention over the past decade by combining the multifunctional characteristics of polypeptides with the shielding characteristics of polypeptoid-pSar possessing similar properties as a shielding material as polvethylene glycol(PEG). Polysarcosine…

The kidneys play a major role in the elimination of drugs. In children, the exact age-related physiological changes underlying kidney function remain largely unknown.

Promotores: Prof.dr. C.A.J. Knibbe, Prof.dr. M. Danhof, Prof.dr. K. Allegaert (Leuven)

Drug induced organ toxicity is the main problem of the drug development and drug usage in the clinic. The liver and kidneys are the most sensitive organs towards drug induced toxicity.

Source: Biosens Bioelectron, Volume 74, pp. 233-42 (2015)

With an emphasis on developing novel miktoarm star polymers termed PeptoMiktoStars, this thesis leverages asymmetric polymeric polypept(o)ide frameworks to advance their effectiveness in delivering hydrophobic drugs and nucleic acids.

This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…