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

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…

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

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 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.

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…

The spindle-assembly checkpoint (SAC) is a safety mechanism which secures accurate chromosome segregation during mitosis.

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.

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…

Mechanisms fro drug resistance

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…

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…

Discovery of metastasis promoting candidate drug targets

Supervisor: Indira Nederpelt

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

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.

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PhD Vacancy, Chemical Proteomics and Drug Discovery Leiden Institute of Chemistry, The Netherlands“Small molecules to retrain immunology via unique mechanisms of action”Discipline: Medicinal Chemistry/Chemical proteomics/Cell and molecular biology IntroductionMany of the leading causes of death in the…

How can zebrafish research help to understand and fight human cancer?

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…

Source: ChemMedChem (2015)

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.

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

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

With cancer, a person’s body cells grow uncontrollably. Putting together a detailed picture of how this comes about makes it possible to develop efficient therapies. Researchers at the Leiden University Medical Centre (LUMC) and Leiden University are working together to gain a better understanding…

As of April 1, 2018, Erik Danen has been appointed as Professor of Cancer drug target discovery at the Leiden Academic Centre for Drug Research (LACDR). His discipline is cell biology of cancer, in which he focuses on the mechanisms underlying metastasis and therapy resistance.

Supervisor: Lizi Xia

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…

The goal of hit discovery is to identify suitable chemical starting points to modulate a drug target. A hit can be, a.o., a small molecule, a protein or mRNA. Hit identification is performed via rational design, genome mining, (targeted) library screening, or in silico approaches.

How to identify patients at risk of developing devastating, metastatic disease and facilitate the development of personalised treatment for prostate cancer patients?

From nanoparticles to colliding ice planets and from biological origami to new x-ray scanner techniques: this year again, our scientists have made wonderful discoveries. From the largest numbers to the smallest molecules and from the oldest galaxies up to the latest algorithms, take a look at each institute's…

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…

The research described in this thesis focused on identifying novel drug targets and synergistic combinations for triple-negative breast cancer (TNBC), a virulent subtype of breast cancer with a dismal prognosis and limited therapeutic options.

The clinical potential of applying synthetic lethality to cancer treatment is famously demonstrated by the BRCA1/PARP1 paradigm: a tumor specific defect in BRCA1 – a component of the DNA double-strand break (DSB) repair pathway homologous recombination (HR) – results in a remarkable sensitivity to PARP1…

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…

Establishing human induced pluripotent stem cell (iPSC) CRISPR-Cas9-based fluorescent reporter cell lines for NF-kB signalling. We will use this to enable studying the dynamic activation and downstream signalling of Toll-like receptor and cytokine signalling in iPSC-derived differentiated cells in a…

Triple-negative breast cancer (TNBC) is a subtype of breast cancer characterized by limited treatment options and unfavorable clinical outcomes. Therefore, the research described in this thesis focused on the exploration of novel targeted therapies for TNBC.

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)…

Cancer is the leading cause of death in the Netherlands, and, with over 100 different types of cancer, it’s not a simple disease. Today, skin, breast, lung, prostate and colon cancer are the most diagnosed forms. Therefore, the discovery and development of new drugs has the ability to significantly…

The objective of this study was to investigate the expression and function of GRHL2 in different breast cancer subtypes.

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

What distinguishes a tumour cell from a healthy cell? Researchers are trying to answer this question as precisely as possible. Certain differences could eventually lead to new therapies.

Global healthcare is on the verge of an antibiotic availability crisis as bacteria have evolved resistance to nearly all known antibacterials. Identifying new antibiotics that operate via novel modes-of-action is therefore of high priority.

Triple-negative breast cancer (TNBC) constitutes a small subtype (~15%) of breast cancer, but causes the majority of breast cancer-related deaths.

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