Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen

Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.

Drug-related homicide (DRH) has the potential to act as a valuable indicator of wider drug-related crime. Yet DRH remains a knowledge gap within this broader field of study.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

Promotor: Prof.dr. T.H.W. Bäck

In the Drug Research theme, we primarily work with rodents. Rodents, such as mice, are one of the most common laboratory animals. These small mammals are easily housed and exhibit a rapid rate of reproduction.

Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.

In previous studies at our laboratory it was demonstrated that drug exposure of HepG2 cells can lead to an altered TNFα-induced NF-κB oscillatory phenotype, concurrent with a synergistically increased sensitivity for TNFα-induced apoptosis.

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

How are new drugs developed? This question is central to the Minor Modern Drug Discovery (MDD), which covers the entire trajectory from disease to drug molecule and vice versa. The various research groups involved offer a complementary and interdisciplinary perspective by connecting the diverse subjects…

Citizens in multiple crime-ridden countries strongly support the militarization of security—that is, placing the military in charge of traditional policing duties. Yet, we know little about the determinants of such support. Do people approve of militarization even in the face of human fatalities? Political…

In the research programme Drug Discovery & Safety, we are interested in the efficacy and safety of new drugs and novel means to decipher these aspects. Hence, we employ advanced imaging and high-throughput screening techniques next to computational approaches such as chem- and bioinformatics.

Promotor: M. Danhof Co-promotor: O.E. Della Pasqua

We focus on a better understanding of the mechanisms of cancer drug resistance and metastasis.

Our research in the area of safety sciences aims to increase the mechanistic understanding of cellular toxicity of drugs and, in a broader sense, chemicals.

Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug discovery process. More specifically, topics include innovative treatments for cancer, selectivity modeling, translational research, allosteric modulation, drug resistance…

Improving healthcare with our scientific discoveries: that is the goal of pharmaceutical research at Leiden University. And there’s a lot involved in that. Our research starts with the discovery of the effect achieved by a particular substance, and sometimes continues all the way through to the development…

The drug discovery pipeline is used to describe the stages in drug discovery. The earliest stage concerns with the identification of potential targets and molecules ('hits') that can modulate their function, while more advanced stages are about developing these hits into viable experimental drugs and…

In this research group, headed by Prof. Erik Danen, the aim is to unravel cellular signaling mechanisms in normal and diseased cells, with a long-standing interest in cell adhesion signaling. In complex multicellular organisms such as ourselves, a division of labor emerges where different tissues and…

New or improved treatments for chronic and acute illness.

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.

Mechanisms fro drug resistance

Despite recent advances in medicine, many devastating disorders like cancer and cardiovascular, neurodegenerative and infectious diseases still lack effective treatments. In order to address this challenge, we, as scientists from Leiden University, joined hands in the LED3 network. LED3, for Leiden…

There are many complex links in the chain that provides patients with new drugs: from fundamental science, to clinical tests, to production. The entire chain can be found in Leiden. Leiden University, the Leiden University Medical Center (LUMC) and the businesses at the Leiden Bio Science Park (LBSP)…

Hospital pharmacies face significant challenges: the demand for sterile drug reconstitutions is increasing, while specialized personnel remain scarce. Automation offers a potential solution, but its practical implementation in hospitals is still unclear.

The research within the Division of Cell Systems and Drug Safety, headed by Prof. Bob van de Water, is focused on novel therapeutic modalities and novel concepts in early drug discovery, in order to develop more effective and safer therapeutic strategies. We generate advanced cell and computational…

In this research group, headed by Bob Van de Water, cell signaling programs that underlie adverse drug reactions as well as cancer development and progression are unraveled. Adverse drug reactions involve cell injury in critical target organ cells which leads to the activation of cellular stress response…

To get a feeling of how we operate at LED3 when it comes to Early Drug Discovery, please browse through our case studies. When you select a case study you’ll find relevant contacts.

A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.

In the literature, several types of microneedles have been extensively described. However, porous microneedle arrays only received minimal attention. Hence, only little is known about drug delivery via these microneedles. However, porous microneedle arrays may have potential for future microneedle-based…

Lecture

We cover the entire spectrum from target identification to the evaluation of the efficacy and safety of novel medicines in clinical practice.

Lecture

Utilizing the polymeric platform of polypept(o)ides, this thesis describes synthesis and investigation of novel triblock copolymers to obtain carrier systems with multiple compartments for efficient siRNA delivery. Although the individual microstructure of nanoparticles differs depending on the polymeric…

Supervisor: Indira Nederpelt

Promotor: Prof.dr. B. van de Water, Co-promotor: L.S. Price

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

The Leiden Academic Centre for Drug Research (LACDR) is a centre of excellence for multidisciplinary research on drug discovery and development.

Discovery of metastasis promoting candidate drug targets

In the last decades, activity-based protein profiling (ABPP) has emerged as a powerful chemical tool that may aid the ever-challenging drug discovery process.

A next, general pharmacological problem to be tackled is how drug-target binding kinetics in vivo, affects target occupancy as an important indicator of the time-course of drug effects.

Harm reduction in practice: a comparative analysis of the Dutch and Brazilian approach towards drug users.

High-throughput holistic preclinical screens are increasingly used in drug discovery, to assess both drug efficacy and drug safety.

The aim of the research described in this thesis was to use structure-based design to optimise multiple properties of aryl sulfoxide monoacylglycerol lipase inhibitors as anti-inflammatory analgesics.

The design process of new buildings is extremely complex due to strict requirements. Computer models are used to create the designs. Scientists from LIACS developed advanced algorithms that help their colleagues at Eindhoven University of Technology to optimise these models.

Lecture

This thesis describes the design, characterization and application of dextran based crosslinked network.

In this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular secretion (ATS) on renal clearance in children.

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