2,765 search results for “target prediction” in the Public website
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Strategies for the improvement of genome editing in Arabidopsis thaliana
Increasing the efficiency of gene targeting (GT) as a genome editing tool in plants has been an important goal in plant biotechnology.
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To target or protect? Militias and political order in African civil wars
Political scientist Corinna Jentzsch received an NWO Veni grant for her research on the conditions of collaboration between militias and state forces and its consequences for safety and political order.
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CCLS Past Events
On this page you can find past CCLS webinars.
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Adriaan IJzerman
Science
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Manipulating uncertainty: cybersecurity politics in Egypt
This new article by Bassant Hassib and James Shires is part of a special issue for Journal of Cybersecurity, based on a selection of contributions from THe Hague Program for Cyber Norms' 2019 Conference.
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Creating Global Scenarios of Environmental Impacts with Structural Economic Models
To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.
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Predicting the Future
PhD Defence
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Mathematical modelling of adverse outcome pathways
In this project, we aim to develop mathematical models to mechanistically and quantitatively predict the dynamics of cellular stress pathway activation and its relation with toxic effects when cells are exposed to various toxicants.
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Resistance to PARP inhibition by DNA damage response alterations in BRCA1/2-deficient tumors
Inactivating mutations in BRCA1 or BRCA2 genes predispose to several types of cancer.
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Cancer Therapeutics and Drug Safety
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…
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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Global fitness maximising approaches to evaluate the trade-offs involved in the evergreen and deciduous conundrum
Which traits and/or trade-offs determine benefits of being deciduous or evergreen?
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Novel immunomodulatory drugs for tuberculosis treatment
Can drugs that target host signaling pathways be used to eradicate antibiotic-resistant bacteria?
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Paul Hooykaas
Science
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Laura Heitman
Science
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Molecular mechanisms of adverse outcome and translational biomarkers
Adverse drug reactions (ADRs) remain one of the major reasons for patient mortality and (early) drug withdrawal. Currently, different in vivo and in vitro models are used to assess the toxic potential of drugs in the pre-clinical phase. Unfortunately, the predictive value of this model does not fit…
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Using AI to improve the Design-Make-Test cycle with Galapagos
Researchers at LED3 are working together with biopharmaceutical company Galapagos to develop software for use in early drug discovery (funded by NWO). This software is able to design molecules with several simultaneously optimized characteristics and will also take prediction reliability into consideration…
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Predicting outcome after liver transplantation
PhD Defence
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Role of pupil-synchronisation in trust
Here I propose to study the relationship between autonomic pupil-synchronisation and trust, at the behavioural and neural level, and examine a targeted set of possible contextual moderators.
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The eel, a swimming paradox
Why is the swimming efficiency of the European eel higher than predicted?
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Research
An overview of the research at the Cancer Dug Target Discovery group.
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Inhibitor Selectivity: Profiling and Prediction
PhD Defence
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LCN2 Seminar: Prediction of epidemics on networks
Lecture
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X-raying extragalactic gas: warm-hot gas in the EAGLE simulations
I have studied the hot, diffuse gas around and between galaxies. Specifically, I have used the EAGLE numerical simulations of galaxy formation to predict the properties of this gas, and I have used those properties to predict specific observables: soft X-ray absorption and emission lines.
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Identity processes during health behavioral change
To what extent and how do identity processes influence health behavior?
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LED3 Drug Discovery Case Studies
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.
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Computational modeling of tumor growth and metastasis and the role of the immune system in tumor destruction
In this project, we aim to obtain a quantitative understanding of the role of the immune system in tumor regression, of the role of tumor cell heterogeneity in cancer growth and of tumor cell migration properties.
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On the amount of sieving in factorization methods
Promotoren: R. Tijdeman, A.K. Lenstra, Co-promotor: H.J.J. te Riele
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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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Clues from stellar catastrophes
Promotores: S.F. Portegies Zwart, E. M. Rossi
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First-pass and systemic metabolism of cytochrome P450 3A substrates in neonates, infants, and children
Growth and development affect the metabolism of drugs administered to neonates, infants, and children.
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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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Erik Danen
Science
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Chemokine signaling in Tuberculosis and Salmonella infection
Who benefits from CXCR/CXCL chemokine signaling during infection: host or pathogen?
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Dynamic prediction in event history analysis
PhD Defence
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Predicting Outcomes in Patients with Kidney Disease
PhD Defence
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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A metabolomics resistance test
Can metabolomic profiling be used to predict resistance against insect herbivores in plants?
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Phenoconversion
Pharmacogenetics is nowadays increasingly incorporated in the clinic to better predict pharmacokinetics and optimize dosing regimens of drug treatments. While this approach has been successful and improved our prediction of drug metabolism, drug levels within patients may still commonly deviate between…
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What predicts how quickly children learn words?
Lecture
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Robust rules for prediction and description
PhD Defence
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History
Life Sciences Artificial Intelligence Data Science
- SAILS Lunch Time Seminar: A few simple rules for prediction
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Is a cancer pill a matter of time?
A cancer pill, preferably without severe side effects, is something we’d all welcome. Is it a matter of time before such a pill is a reality? We put this question to three Leiden researchers and asked how they themselves are contributing to new cancer treatments.
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Research
The M&S unit has three central themes of research:
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Cancer drug target discovery
Inaugural Lecture
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SAILS Lunch Time Seminar: A few simple rules for prediction
Lecture
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ACS Webinar: How to Predict Human CNS PK/PD: Preclinical Experiments and Advanced Mathematical Modelling
Lecture
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Is the future of Portuguese predictable?
Lecture