2,760 zoekresultaten voor “target prediction” in de Publieke website
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Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
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Predictive pharmacology
The aim of this research area is to be able to predict human drug response on the basis of mathematical models that are developed using preclinical experiments and prior knowledge.
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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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Prediction of human gut (colon cancer) target site concentrations and PKPD relationships
The advanced insights obtained for the CNS PBPK model development are currently used to develop advanced mathematical models for drug distribution prediction in other body tissues protected by barriers, such as the gut. The gut PBPK model will be linked to drug effects for treatment of colon cancer.
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Predictive Pharmacology
Prof. Elizabeth de Lange is concerned with the allocation of resources for the conduct of science towards the goal of best serving the public interest. Also, while she underscores that there is still the need for using animals in drug research, she is concerned about this use, and advocates the use…
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Prediction of brain target site concentrations on the basis of CSF PK: impact of mechanisms of blood-to-brain transport and within brain distribution
Promotor: Prof.dr. M. Danhof, Co-promotor: E.C.M. de Lange
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Prediction of binding kinetics
Supervisor: Gerard van Westen
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Inhibitor Selectivity: Profiling and Prediction
Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.
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Predicting dementia
In the future, physicians may be able to identify dementia much earlier than they can today because a computer algorithm will be able to predict from brain scans how our memory is going to develop.
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Predicting the future: Predictive control for astronomical adaptive optics
The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.
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Archaeological Prediction and Risk Management
Alternatives to current practice
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Drug-target binding kinetics in vivo
A next, general pharmacological problem to be tackled is how drug-target binding kinetics in vivo, affects target occupancy as an important indicator of the time-course of drug effects.
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CIMPLO – Maintenance prediction for industries
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.
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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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Target Discovery
The goal of target discovery is to identify and validate proteins and biological pathways that are involved in the disease process. Modulating these target proteins and pathways with small molecules, therapeutic proteins or other biomolecules (e.g. mRNA) could deliver an effective and safe drug or v…
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Case studies in archaeological predictive modelling
ASLU 14
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From Descriptive to Predictive Pharmacology in Children using Semi-Physiological population modelling
An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.
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Predictive Modelling for Archaeological Heritage Management
A research agenda
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Exploring Grainyhead-like 2 target genes in breast cancer
The objective of this study was to investigate the expression and function of GRHL2 in different breast cancer subtypes.
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Novel target engagement biomarkers for better drug candidates
Is is possible to better predict the validity of drug candidates?
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XAIPRE - Explainable AI For Predictive Maintenance
The project XAIPre (pronounce “Xyper”) aims to develop predictive maintenance system for the maritime industry using sensor technology and artificial intelligence. The project aims at developing Explainable Predictive Maintenance (XPdM) algorithms that do not only provide the engineers with a prediction…
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Strategic research into and development of best practice for, predictive modelling on behalf of Dutch Cultural Resource Management
Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Can you predict a migraine attack?
A chair tipping over serves as a metaphor for a migraine attack in Thijs Perenboom’s PhD research at Leiden University Medical Center (LUMC). He wants to unravel whether and how we can predict migraine attacks. He will defend his thesis on Tuesday 21 June.
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Cancer Drug Target Discovery
We focus on a better understanding of the mechanisms of cancer drug resistance and metastasis.
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Targeting the adenosinergic system
Adenosine is an endogenous ligand which exerts its action by activating adenosine receptors (ARs), while its circulating levels are controlled via a variety of mechanism and proteins, amongst others the equilibrative nucleoside transporters (ENTs).
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Chemical genetic approaches for target validation
Drug development is a time- and resource-consuming process that starts with the discovery and validation of a (protein) target that contributes to pathogenesis or disease progression.
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Cancer Drug Target Discovery
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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Predicting crime in dark web forum networks
In this project, we use social network analysis to analyze the behavior of users in online forums and associated marketplaces over time.
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Towards predictive cardiovascular safety: a systems pharmacology approach
Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski
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Empirical Bayes applications in biomedical high-dimensional prediction
The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.
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Intervention targets in cognitive development
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Adjudicating Attacks Targeting Culture
On 27 May 2021, Hirad Abtahi defended his thesis 'Adjudicating Attacks Targeting Culture'. The doctoral research was supervised by Prof.dr. C. Stahn.
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Efficient gene-targeting during meiosis
Efficient gene-targeting during meiosis
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of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic Species
Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…
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Predicting alcohol use disorder through machine learning
How to come to valid risk stratification of alcohol use disorder?
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PRIME – Predicting, Interdicting and Mitigating Extremism
Research goal: To support the design of technologies (counter-measures and communication measures) for the prevention, interdiction and mitigation of lone actor extremist events (LOEEs), which are hard to anticipate, yet can be highly damaging to local and national communities and therefore must be…
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Elizabeth (Liesbeth) de Lange
Wiskunde en Natuurwetenschappen
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Pharmacology based toxicity assessment: towards quantitative risk prediction in humans
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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Systems diagnosis in chronic disease: prediction and evaluation
Promotor: J. van der Greef, T. Hankemeier; Co-promotor: H.A. van Wietmarschen
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Predicting early Alzheimer's disease stage in human
A new research line is the development of liquid biopsy fingerprints to predict early Alzheimer’s disease (AD) stage in human in readily accessible body fluids in human (in collaboration with: Dr. Geert-Jan Groeneveld, CHDR; Prof. Elga de Vries, Free University Medical Center; and others).
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Discovery of metastasis promoting candidate drug targets
Discovery of metastasis promoting candidate drug targets
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PHD candidate, Mathematical modeling for prediction of liver toxicity
Wiskunde en Natuurwetenschappen, Leiden Academic Centre for Drug Research (LACDR)
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National identity predicts public health support during a global pandemic
Honorata Mazepus and Jaroslaw Kantorowicz are assistant professors at the Institute of Security and Global Affairs. Mazepus and Kantorowicz are one of the authors of this article in Nature on the role of national identity on public health support during global pandemics.
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Improving survival prediction models for liver transplantation candidates
Promotie
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Targeted biomolecule production for therapeutic use
We aim to develop a drug-delivery method based on the production of biomolecules directly at the target site.
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Inhibitors and probes targeting endo-glycosidases
The chemical synthesis of inhibitors and probes targeting endo-glycosidases.
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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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Bart Custers: 'AI can predict rulings, but beware of Kafka'
The work of judges can also be done by AI systems. These systems can formulate an objective proposal for a ruling. But such proposal should always be checked by a judge, says Bart Custers.