1,668 search results for “drug discovery” in the Public website
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AiChemist project
The AiChemist project (https://aichemist.eu) coordinated by Helmholtz Munich is an Innovative Doctoral Training Network funded through the Marie Skłodowska-Curie Actions (MSCA-DN) within the EU Horizon Research Framework, to the sum of €3 million. It brings together leading experts in AI, chemoinformatics…
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Strategy
The research area of this division is focused on the development of novel therapeutic modalities and novel concepts in early drug discovery, in order to better predict ligand-target interactions.
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Pursuing new anti-cancer therapy as a team
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…
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Master's application and admission
Find out how to apply for Drug Discovery and Safety at Leiden University by following our step-by-step guide.
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The scientists behind LED3
LED3 is the combined effort of three excellent institutes of Leiden University. Through joined hands, we are able to give rise to a more effective early drug discovery pipeline. Let us briefly introduce the three institutes.
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pharmacology studies investigating novel formulations of dopaminergic drugs
PhD defence
- Time Seminar: Applications of Artificial Intelligence in Early Drug Discovery
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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
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More effective blocking of CCR2 receptor
The discovery of new medicines is a tedious and lengthy process. On average, over 10,000 molecules need to be studied for one to become a drug and reach the patient. Part of that process are the very costly clinical trials in humans, and candidate drugs often fail due to side effects or lack of efficacy.…
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Physicochemical analysis of allosteric binding pockets
Supervisor: Gerard van Westen
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Environmental and metabolomic study of antibiotic production by actinomycetes
Promotor: Prof.dr. G.P. van Wezel
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Ukraine
This is an Erasmus+ International Credit Mobility project of the Faculty of Science with the Taras Shevchenko National University of Kyiv.
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A chemical biology approach for targeting of ligand-drug conjugates
Promotores: Prof.dr. H. S. Overkleeft, Prof.dr. G. A. van der Marel
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Career prospects
In the Master’s programme in Bio-Pharmaceutical Sciences of Leiden University you are trained for a scientific career in drug research and development.
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Career prospects
In the Master’s programme in Bio-Pharmaceutical Sciences of Leiden University you are trained for a scientific career in drug research and development.
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Career prospects
In the Master’s programme in Bio-Pharmaceutical Sciences of Leiden University you are trained for a scientific career in drug research and development.
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Career prospects
In the Master’s programme in Bio-Pharmaceutical Sciences of Leiden University you are trained for a scientific career in drug research and development.
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Systems pharmacokinetic models to the prediction of local CNS drug concentrations in human
Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.
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Career prospects
After graduation you have a lot of opportunities: academics are highly sought after in Dutch secondary education or mbo teaching. You can also aim for a management position or work as a researcher within the field of Life Sciences.
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Queen Máxima inspects zebrafish embryos
On Wednesday the 4th of September, Queen Máxima opened the renovated tropical greenhouse complex of the Leiden Hortus Botanicus. At the occasion Máxima met with IBL-PhD student Mahin Ghorbani from Iran and talked with her about her work on drug discovery from Iranian medicinal plants using zebrafish…
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Monitoring drug-related homicides: An assessment of existing data sources and potential for future monitoring
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.
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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Focus on kinetics for better drug development
Potential drugs that seem promising in the lab, but don’t show any activity in a person: they cost the industry an incredible amount of time and money. That’s why Indira Nederpelt focuses on a more efficient search for new drugs in her PhD, by determining the kinetics of a potential drug earlier on…
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Exploring the mechanism of targeted nanoparticle-mediated drug delivery using the zebrafish model
Exploring the mechanism of targeted nanoparticle-mediated drug delivery using the zebrafish model
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Screening enormous databases to find a cure for cancer
Pharmaceutical research should make more use of data science, says Gerard van Westen, postdoctoral fellow at the Leiden Academic Centre for Drug Research (LACDR). ‘If we want to have better drugs, we should start with data.’
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How to scale clearance from adults to children for drugs undergoing hepatic metabolism?
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.
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Corpora Non Agunt Nisi Fixata: Ligand Receptor Binding Kinetics in G Protein-Coupled Receptors
The present thesis focuses on the pharmacological concept of drug-target interaction, which dates back to the beginning of modern pharmacology.
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generation human IPSC-derived reporter systems for image-based analysis of drug adversity
Analysis of drug adversity
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Prediction of human (CNS) target site concentrations in health and disease
Prediction of human (CNS) target site concentrations in health and disease In the vision of Prof. de Lange we will only be able to predict human (central nervous system, CNS) target site concentrations and effects if we perform systematic, condition-dependent, integrative, and strictly quantitative…
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Discovery of novel Antibiotics from Actinomycetes by Integrated Metabolomics & Genomics Approaches
Promotor: G.P. van Wezel, Co-promotor: Y.H. Choi
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Grants & Awards
Grants awarded to molecular physiology research
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Personalised pharmacotherapy in paediatric epilepsy : the path to rational drug and dose selection
The path to rational drug and dose selection
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Ecology and genomics of Actinobacteria and their specialised metabolism
Filamentous Actinobacteria, such as Streptomyces, produce a plethora of chemically diverse bioactive metabolites that have found applications across medicine, agriculture and biotechnology.
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A community effort to assess and improve drug sensitivity prediction algorithms
Source: Nature Biotechnology, Volume 2014, Issue June (2014)
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Cytochrome P450 3A-mediated first-pass and systemic drug metabolism in children
From descriptive to physiological models that can predict oral absorption and elimination of CYP3A substrates across the pediatric age range.
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Doris Jacobs
Dr. Doris M. Jacobs, Lead Scientist at Unilever R&D, Wageningen, The Netherlands.
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Quantitative Systems Pharmacology
This research area is focused on the development and application of novel concepts and models in the emerging area of quantitative systems pharmacology (QSP).
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Binding kinetics
A tantalizing concept that has emerged in our recent research is binding kinetics. An important parameter is residence time (RT), a direct reflection of how long a drug stays bound to its target. This parameter is of crucial importance, because drug action lasts only as long as the receptor-ligand complex…
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throughput microscopy for cellular adaptive stress response pathways in drug adversity
High throughput microscopy
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Mortality and HyperImage: Visual analytics techniques for biomarker discovery in massive 3D-omics datasets
Over the past decade, several novel types of spatially resolved
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Hildert Bronkhorst
Science
h.bronkhorst@biology.leidenuniv.nl | +31 71 527 4964
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Key publications
Key publications of the Cancer Drug Target Discovery group
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The impact of obesity on the pharmacokinetics of drugs in adolescents and adults
Promotores: C.A.J. Knibbe; J.N. van den Anker, Co-promotores: H.P.A. van Dongen; B. van Ramshorst
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Hit and Lead Optimization
The goal of hit and lead optimization is to optimize suitable chemical starting points that can modulate a drug target. The methods and technologies used are similar to those in Hit Discovery, but once the compound has shown activity in an animal model, it moves from 'hit' to 'lead.'
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Agonists for the Adenosine A1 Receptor with Tunable Residence Time. A Case for Nonribose 4-Amino-6-aryl-5-cyano-2-thiopyrimidines
Source: J Med Chem, Volume 57, Issue 8, pp. 3213-22 (2014)
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Key publications
Key publications of the Predictive Pharmacology group.
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Bio-organic Synthesis
The research in the Biosyn group is focused on the design, synthesis and function of the four major types of biomolecules: nucleic acids, carbohydrates, peptides and lipids and hybrid structures thereof. These biomolecules and their derivatives are used in drug discovery and chemical biology, to develop…
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resources for Iberian empires: ecology and globalization in the age of discovery
An interdisciplinary and innovative research group combining History, underwater archaeology, GIS and wood provenancing methods.
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TARGETBIO: Transmission of Antimicrobial Resistance Genes and Engineered DNA from Transgenic Biosystems in Nature
This project aims to assess the risk of spread of antimicrobial resistance genes in the environment derived from currently used synthetic biology approaches in the field of drug discovery.
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Chemical genetics strategy to profile kinase target engagement reveals role of FES in neutrophil phagocytosis, Nat. Comm. 2020
Chemical tools to monitor drug-target engagement of endogenously expressed protein kinases are highly desirable for preclinical target validation in drug discovery. Here, we describe a chemical genetics strategy to selectively study target engagement of endogenous kinases.