2,769 search results for “target prediction” in the Public website
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Towards improved drug action : target binding kinetics and functional efficacy at the mGlu2 receptor
During the course of drug discovery translational steps are made.
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Targeting gun violence & trafficking in Europe
To assess the impact of illicit firearms trafficking on gun violence, this research looks at the scope, characteristics and contexts of firearm violence, and also the scope and nature of firearms trafficking in Europe since the new millennium. Nils Duquet, Dennis Vanden Auweele and Marieke Liem created…
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Mycobacterial dihydrofolate reductase inhibitors identified using chemogenomic methods and in vitro validation
Source: PLoS ONE, Volume 10, Issue 3 (2015)
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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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Prediction of spatial-temporal brain drug distribution with a novel mathematical model
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.
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Prediction Sets via Parametric and Nonparametric Bayes: with Applications in Pharmaceutical Industry
This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm.
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Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling
Source: J Cheminform, Volume 7, Issue 1 (2015)
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A community computational challenge to predict the activity of pairs of compounds
Source: Nat Biotechnol, Volume 32, Issue 12, pp. 1213-22 (2014)
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Advances in GPCR Modeling Evaluated by the GPCR Dock 2013 Assessment: Meeting New Challenges
Source: Structure , Volume 22, Issue 8, pp. 1120-1139 (2014)
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Preclinical validation of putative targets in cardiovascular and metabolic disease
Cardiovascular disease is the number one cause of death worldwide. The most important risk factor for developing this disease is high cholesterol levels in the blood.
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Targeted Therapy for Triple-Negative Breast Cancer
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.
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Identification of novel targets in prostate cancer progression
Promotor: Prof.dr. B. van de Water, Co-promotor: E.H.J. Danen
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Efficient targeting of the Trichoderma genome for industrial protein engineering
The research is aimed at development of an efficient gene targeting method that allows controlled integration of DNA at a preselected site in the Trichoderma genome.
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Epilepsy and anxiety: targeting a vicious cycle
How effective is eye movement desensitization and reprocessing therapy in targeting epilepsy-related anxiety?
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Towards a comprehensive and predictive theory of catalysis based on simple structure-activity relations
Can we tailor catalysts at the atomic scale by means of high-school chemistry and geometry rules?
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Postdoc candidate in biochemistry / cell glycobiology / protein targeted degradation
Science, Leiden Institute of Chemistry (LIC)
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Targeting of antigen-presenting cells with mannosylated conjugates
This thesis describes the development of a variety of mannosylated conjugates. Antigen presenting cells bear mannoside recognizing receptors that actively transport antigen into the cell. This thesis exploits this feature for the development of improved vaccines.
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Innate immune modulation in atherosclerosis and vascular
Promotores: Prof.dr. J. Kuiper, Prof.dr. P.H.A. Quax
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Project TARGET: gun violence and firearms trafficking in Europe”
Project TARGET aims to improve our understanding of gun violence in Europe and the relationship between gun violence and firearms trafficking.
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Using zebrafish to target the Achilles’ heel of cancer
Exploiting metabolic vulnerabilities to identify anticancer compounds in zebrafish synthetic lethality screens.
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Novel chemical tools for target validation in neuroinflammation
In what way can new tools and techniques be used to develop drug candidates for the treatment of neurological disorders?
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The Role of Target Binding Kinetics in Drug Discovery
Source: ChemMedChem (2015)
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Van der Meer, Janssen & Louwerse, ‘The predictive value of polls in a fragmented multi-party system’
Political scientists Tom van der Meer, Lisa Janssen (University of Amsterdam) and Tom Louwerse (Leiden University) analyse polls presented by the main polling agencies in the Netherlands, as well as micro-level panel data. They reach three main conclusions. First, vote intention polls in the Netherlands…
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CD40-targeted dendritic cell delivery of PLGA-nanoparticle vaccines induce potent anti-tumor responses
Dendritic cells (DC) play a prominent role in the priming of CD8(+) T cells. Vaccination is a promising treatment to boost tumor-specific CD8(+) T cells which is crucially dependent on adequate delivery of the vaccine to DC.
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Predicted microplastic uptake through trophic transfer by the short-beaked common dolphin and common bottlenose dolphin
In this study, Tessa Dool and Thijs Bosker estimate the microplastic uptake of two odontocetes in the Mediterranean Sea and the Norteast Atlantic.
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screening combined with chemical proteomics to globally profile new targets for antibiotics (1.0 fte)
Science, Leiden Institute of Chemistry (LIC)
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From descriptive to predictive pharmacology in children using semi-physiological population modelling: application to hepatic metabolism
Clearance is the most important pharmacokinetic parameter for drug dose selection. Pharmacokinetic information is typically first available in the adult population, and in general only limited pharmacokinetic data are available in children when drugs enter into the market. It is therefore of the utmost…
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AI in Neuroscience: Development of Methods to make Personalized Predictions for Migraine and Stroke from E-Health Sensor Data
The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.
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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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Bayesian Statistics in Infinite Dimensions: Targeting Priors by Mathematical Analysis
Novel methods for understanding key aspects that are essential to the future of Bayesian inference for high- or infinite-dimensional models and data.
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Lipids as therapeutic targets for barrier repair in skin diseases
The skin is our natural barrier and lipids are a key part of this barrier. In the outer skin layer, the stratum corneum (SC), lipids form a densely organized structure dependent on the composition of these lipids.
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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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Predictive value of semi-physiological models for clearance of renally excreted drugs across the paediatric age range
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.
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CB2 receptor ligand profiling reveals biased signalling and off-target activity, Nat. Commun., 2017
The cannabinoid CB2 receptor (CB2R) represents a promising therapeutic target for various forms of tissue injury and inflammatory diseases. Although numerous compounds have been developed and widely used to target CB2R, their selectivity, molecular mode of action and pharmacokinetic properties have…
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Pharmacometabolomics; prediction of system-wide multi-biomarker drug response
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.
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Toward Democratic Schools: The prediction of democratic interaction of stakeholders in Vietnamese secondary schools
Although many studies have addressed democracy in education around the world, so far research on democratic education in the context of communist society has been scarce. In the current study, we aim to clarify the concept of democratic value and its manifestation in Vietnam’s schools. In addition,…
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Early intervention and treatment prediction in childhood specific phobias: Combining one-session-treatment with app-based technology
Can a newly developed, app-based, personalized maintenance program enhance the effectiveness of the exposure-based one-session-treatment for children with a specific phobia?
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Research projects
An overview of research projects at the Predictive Pharmacology group.
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Associate or Full Professor Biochemistry of drug-target interactions
Science, Institute of Biology Leiden (IBL)
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Systems microscopy-based drug target discovery in pathogen-meidated inflammatory respons signalling
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…
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The road to insurmountability: Novel avenues to better target CC Chemokine receptors
This thesis explores different avenues to develop insurmountable antagonists for CC Chemokine Receptors, such as CCR1, CCR2 and CCR5.
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Liver X receptor: therapeutic targeting of common pathways in Psoriasis and Cardiovascular co-morbidities
Both psoriasis and atheroslcerosis are diseases characterized by a chronic and systemic inflammatory profile with local lipid disturbances that alter the barrier function of the skin (psoriasis) and cause the development of atherosclerotic plaques (atherosclerosis).
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Drug-target residence time: a case for the adenosine A1 and A2A receptors
Promotor: Prof.dr. A.P. IJzerman, Co-Promotor: Dr. L.H. Heitman
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Vaccination and Targeted Therapy Using Liposomes; Opportunities for Treatment of Atherosclerosis and Cancer
This thesis focuses on using liposomes in two different treatment strategies; vaccination (or immunotherapy) and delivery of a small molecule, and in two different disease models; cancer and atherosclerosis.
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Cannabinoid receptor 2 as a ‘drugable’ target: kinetic profile of novel receptor ligands
Supervisor: Andrea Martella
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Towards a system-based pharmacology approach to predict developmental changes in renal drug clearance in children
Promotores: Prof.dr. C.A.J. Knibbe, Prof.dr. M. Danhof, Prof.dr. K. Allegaert (Leuven)
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Mechanistic modelling of drug target binding kinetics as determinant of the time course of drug action in vivo
Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.
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Machine learning predicts preferences
Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.
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De Lange appointed Professor of Predictive pharmacology
As of 1 March 2018, Elizabeth (Liesbeth) de Lange has been appointed as Professor of Predictive pharmacology at the Leiden Academic Centre for Drug Research (LACDR). She is head of the research group Predictive Pharmacology and mainly aims at developing mathematical models that can predict the effect…
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Does feedback targeting text comprehension trigger the use of reading strategies or changes in readers' attitudes? A meta-analysis
Our previous meta-analysis (Swart et al., 2019) had shown that feedback targeting text comprehension given when students perform a reading task positively influences learning from text. So far, differences in the effects of feedback were explained by design features, such as the timing and richness…