1,435 search results for “anti-inflammatory drug” in the Public website
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Spatial (3-D) CNS drug distribution in vivo
Another research line is the development of a spatial CNS drug distribution model, by ultimately including the 3-dimensional anatomical organization of the CNS.
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24-hour rhythms in drug exposure and effect
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.
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Why don't drugs make it to the market?
How can we extend the drug residence time to combat diseases more effectively?
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Proteins in harmony: Tuning selectivity in early drug discovery
This thesis describes the importance of being able to control the selectivity of potential drug candidates.
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The impact of non-genetic factors on drug metabolism: towards better phenotype predictions
This thesis investigates how non-genetic factors, such as inflammation and concomitant medication, impact hepatic drug metabolism and subsequent drug metabolizing phenotype predictions.
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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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Antibiotic combination therapies against drug resistant Gram negative pathogens
Can effective synergists be identified to enhance the effect of antibiotics against Gram negative pathogens?
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Microengineered Human Blood Vessels For Next Generation Drug Discovery
Heart failure is a major health care problem with high mortality.
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The Role of Target Binding Kinetics in Drug Discovery
Source: ChemMedChem (2015)
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vesicles: An efficient membrane biophysical tool and its application in drug delivery studies
Promotor: A. Kros
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Novel Immune Cell-Based Therapies for Atherosclerosis
Promotor: Prof.dr. J. Kuiper, Co-Promotor: S.C.A. de Jager
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Scientific computing for Drug Discovery in Python and/or R
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.
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New imaging technology to assess early drug success
Human and animal cells are very complex: very different chemical processes are going on at the same time, but they are separated from each other because the cells are divided in compartments. These compartments may also have a profound effect on the potential efficacy of therapeutics, because the drug…
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Microglial lipid metabolism: a delicate balance
Microglia support the central and peripheral nervous system by forming the first line of defense against hazardous events. Microglia are increasingly acknowledged as critical players in neurodegenerative diseases, highlighting them as potential therapeutic targets.
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Single-cell immune profiling of atherosclerosis: from omics to therapeutics
Acute cardiovascular syndromes, including myocardial infarction or stroke, are the principal cause of death in the Western society. The main underlying pathology of cardiovascular diseases is atherosclerosis, which is caused by the accumulation of lipids and inflammatory cells in the vessel wall, in…
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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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Activity-based protein profiling for drug discovery
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…
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Revisiting Goldstein’s Drugs‑Violence Nexus: Expandingthe Framework for the Globalized Era
In this article, Marieke Liem and Kim Moeller revisit Goldstein’s framework on the drugs-violence nexus
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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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Time is of the essence: investigating kinetic interactions between drug, endogenous neuropeptides and receptor
Promotor: A.P. IJzerman Co-promotor: L.H. Heitman
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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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namic Relationships of Central Nervous Systems Active Dopaminergic Drugs
Discovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates.
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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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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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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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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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generation human IPSC-derived reporter systems for image-based analysis of drug adversity
Analysis of drug adversity
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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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A community effort to assess and improve drug sensitivity prediction algorithms
Source: Nature Biotechnology, Volume 2014, Issue June (2014)
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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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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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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Gerard van Westen: 'Our model predicts what candidate drugs do in your body'
He’s a fast and animated speaker, which is only logical because Gerard van Westen is driving an express train. His destination? A virtual human, consisting of algorithms that predict what an administered substance will do in the body. The train is already a long way down the line and the pharmaceutical…
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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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throughput microscopy for cellular adaptive stress response pathways in drug adversity
High throughput microscopy
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Ecological validity of biomarkers in drug research
PhD defence
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Systems microscopy to unravel cellular stress response signalling in drug induced liver injury
Promotor: B. van de Water
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quantification of growth hormone secretion : application of model-informed drug development in acromegaly
Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.
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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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Gene networks-based mechanistic assessment of drug-induced organ toxicity: a focus on liver and kidney
Drug induced organ toxicity is the main problem of the drug development and drug usage in the clinic. The liver and kidneys are the most sensitive organs towards drug induced toxicity.
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Polypept(o)ide-based Cylindrical Polymer Brushes as Multifunctional Drug Delivery Systems
The polypept(o)ide hybrid material attracted more and more attention over the past decade by combining the multifunctional characteristics of polypeptides with the shielding characteristics of polypeptoid-pSar possessing similar properties as a shielding material as polvethylene glycol(PEG). Polysarcosine…
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PROTEOMINING: a novel proteomics-based pipeline for drug and enzyme discovery in filamentous actinomycetes
Can a new proteomics workflow be developed to link genes and gene clusters to bioactive molecules, identify novel compounds and enhance the production in the Streptomyces lividans enzyme?
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Kinetics for Drug Discovery: a Case for the Adenosine A3 receptor
Supervisor: Lizi Xia
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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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Multifunctional polypept(o)ide miktoarm star polymers for advanced drug delivery: from the development of versatile synthetic strategies for
With an emphasis on developing novel miktoarm star polymers termed PeptoMiktoStars, this thesis leverages asymmetric polymeric polypept(o)ide frameworks to advance their effectiveness in delivering hydrophobic drugs and nucleic acids.
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Whole-cell biosensor for label-free detection of GPCR-mediated drug responses in personal cell lines
Source: Biosens Bioelectron, Volume 74, pp. 233-42 (2015)
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The role of zebrafish (Danio rerio) larvae in developing new drug candidates for treating anxiety, from natural sources
Can zebrafish larvae be used as a behavioural model for screening natural products as potential neurotropic drugs?
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Image-based phenotypic screening for breast cancer metastasis drug target discovery
The main aim of this thesis was to unravel the signaling and regulatory networks that drive tumor cell migration during breast cancer metastasis.
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and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
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…
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Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling
Source: J Cheminform, Volume 7, Issue 1 (2015)