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…

The Minor Computational Approaches to Disease, Signaling and Drug Targets (CADSDT) is focused on fundamental scientific research required for discovery of new drug targets and development of new drugs.

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.

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…

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

Which brain cell does what, when Parkinson's disease arises? It won't be long before this jigsaw is solved piece by piece. Ahmed Mahfouz, computational biologist, combines bio-knowledge from Leiden with algorithms from Delft and is getting closer to finding the key.

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.

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.

Can drugs that target host signaling pathways be used to eradicate antibiotic-resistant bacteria?

On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.

Is is possible to better predict the validity of drug candidates?

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…

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.

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…

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.

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.

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…

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

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…

Projects within the theme ‘Computational Biology’ aim to employ mathematical or computational dynamical modelling approaches to discover novel concepts that are important for drug development.

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.

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…

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

The master's specialisation Drug Discovery and Safety at Leiden University provides students with research-oriented education into the discovery of new drug targets and new lead molecules, particularly in the field of cancer, through a combination of advanced imaging techniques (‘systems microscopy’),…

Mechanisms fro drug resistance

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)…

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…

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…

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.

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

Lecture

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.

Supervisor: Indira Nederpelt

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…

The Computer Systems, Imagery & media (CSI) research programme performs research on methods and techniques for the design, implementation and application of advanced computer systems, in particular parallel, distributed and embedded computer systems.

Drug development is a complex process in which many parties work together. Every day, the researchers at LACDR devote their energies to developing drugs that are new, better, more efficient and easier to produce. And thus to the millions of patients who know all too well why this research in Leiden…

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