2,761 search results for “target prediction” in the Public website
-
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…
-
Postdoc – iPSC technology to discover targeted therapy for Nrf2 antioxidant response modulation.
Science, Leiden Academic Centre for Drug Research (LACDR)
-
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.
-
CRISPR Cas-induced targeted mutagenesis with Agrobacterium mediated protein delivery
The RNA guided endonuclease based on the CRISPR/Cas system of Streptococcus pyogenus is a potent new tool for genome engineering in plants.
-
Activity-based protein profiling reveals off-target proteins of the FAAH inhibitor BIA 10-2474, SCIENCE, 2017
The drug BIA 10-2474 inhibits fatty acid amide hydrolase (FAAH), a lipase that degrades a specific endocannabinoid. On the basis of this activity, BIA 10-2474 was being developed as a potential treatment for anxiety and pain. In a phase 1 trial of the drug, one subject died, and four others suffered…
-
system-inspired model-based quantum machine learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
-
Key publications
Key publications of the Predictive Pharmacology group.
-
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.
-
Twitter use helps predict flooding
Heavy rainfall can cause streets to flood and basements and tunnels to overflow. Jan van Rijn investigated, together with Christiaan Lamers (formerly of Leiden University) and Ton Beenen (STOWA, RIONED), how data science can help to predict which areas are at greater risk of flooding. Van Rijn presented…
-
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.
-
Non-target effects of GM potato: an eco-metabolomics approach
Promotors: Prof.dr. P.G.L. Klinkhamer, Prof.dr. P.M. Brakefield
-
PhD candidate in bio-synthetic chemistry of small-molecule drugs targeting viral RNAs
Science, Leiden Institute of Chemistry (LIC)
-
Personalised medicine for multiple outcomes: methods and application
The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.
-
Targeted Informed consent: empowering young participants in medical-scientific research
Promotor: J.M. van den Broek Co-promotor: M.C. de Vries
-
Champion in headwind and predictions
It is a stormy Sunday afternoon, with gusts of a whopping 110 kilometres per hour. Chemist Teun Sweere defies the enormous headwind on his city bike and wins the NK Headwind cycling after 22,5 minutes. A new highlight follows six months later: his PhD defence (14 June).
-
and structure-activity relationships of novel, selective and dual targeting CCR2 and CCR5 receptor antagonists
Source: Org Biomol Chem, Volume 13, Issue 8, pp. 2407-22 (2015)
-
Brain connections predict adolescent impulsiveness
There is a link in adolescents between brain connections and impulsiveness. Leiden researchers have discovered that these connections also predict which adolescents will make more impulsive choices two years further on.
-
Cathodic corrosion: devastating but predictable
An indian stepwell on a nanoscale. That is what postdoc Nakkiran Arulmozhi calls the pattern he saw when he corroded a special kind of platinum crystal. The unique images show the destructiveness of the process, but also show how predictable it is.
-
Mathematical model predicts drug concentration in the brain
Do medicines arrive in the right amount at the right spot in our brain? By making a model that depicts our brain in small 'brain blocks', Esmée Vendel tries to find an answer to this question. Her new, mathematical model predicts the concentration of medicines in the brain over time and space. Vendel…
-
New project on maintenance prediction for industries
With the use of big data, Leiden University is aiming to develop a system that sends automatic alerts when certain Industrial parts are starting to wear out. Researchers of the the Leiden Institute of Advanced Computer Science (LIACS) are developing a predictive maintenance platform together with, among…
-
The role of glomerular filtration and active tubular secretion in predicting renal clearance in children using population pharmacokinetic and
In this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular secretion (ATS) on renal clearance in children.
-
New collaboration aims to predict cancer survival
Predicting cancer survival with machine learning, that is the aim of a new collaboration between the Mathematical Institute, the European Organisation for Research and Treatment of Cancer (EORTC) in Brussels and Leiden University Medical Center. The focus of this project is to characterise the model…
-
Predicting drug behaviour in the brain
Does a drug enter into the human brain once administered in the body?
-
the regional and sectoral levels and projections in light of policy targets
Has the industrial sector in China effectively been decarbonizing in recent years, across different regions and subsectors, and is it plausible that it will reduce its CO2 emissions in conformity with national and internationally pledged emission goals?
-
‘Take medicine target saturation into account’
Not taking into account the saturation of drug targets can lead to wrong conclusions about the duration of a drug's action. This is what former PhD candidate Wilbert de Witte writes together with the Leiden professors of pharmacology Meindert Danhof, Piet van der Graaf, and Liesbeth de Lange in Nature…
-
Strategy
The division of Drug Discovery and Safety combines the former divisions Toxicology and Medicinal Chemistry.
-
Targeting recidivism
On Thursday 26 January 2017 Anouk Bosma will defend her doctoral thesis ‘Targeting recidivism: An evaluation study into the functioning and effectiveness of a prison-based treatment program’. The defence will start at 15.00 hrs, at the Academy Building of Leiden University, Rapenburg 73. Supervisor…
-
Gradient Sensing in Ewing Sarcoma Progression, Angiogenesis and Immune Targeting
What are the biological and biophysical mechanisms that control chemokine gradient sensing and migration of immune, endothelial, and tumour cells in tumour development?
-
In silico characterization of a GPCR focused library
Supervisor: Gerard van Westen
-
Personalised sarcoma care: Leiden mathematicians develop a prediction app
The DASPO-group for data analysis and survival in personalized sarcoma at the Mathematical Institute has developed an app that provides personalised predictions for patients suffering from soft tissue sarcomas. Due to the aggressive nature of such tumors, the prognosis for such patients is poor, even…
-
Predicting and preventing serious COVID-19 symptoms
Scientists in Leiden are looking for signals in blood samples to predict whether patients will develop serious COVID-19 symptoms or not. Based on that knowledge, they will be able to propose targeted therapies to prevent serious symptoms. They hope to come up with the first results within the week.
-
New vegetation models can improve climate change predictions
A new study in Nature Plants has explored the most important organising principles that control vegetation behaviour. The insights from this study can be used to improve predictions on climate change. Leiden scientists Peter van Bodegom and Nadia Soudzilovskaia participated in the study.
-
Can we predict the future of ecosystems throughout the world?
To what extent does human intervention influence the world’s biodiversity? And can we predict how biodiversity and ecosystems will change in the coming years? Inaugural lecture by Peter van Bodegom, Professor of Conservation Biology, on 8 May.
-
Proteochemometrics
Research question
-
New model predicts ‘yoyo’ orbits around black holes
Stars orbit black holes while jumping up and down. This is the prediction of a theoretical model developed by Leiden physicist Satish Kumar Saravanan, based on Einstein’s theory of relativity. He defends his PhD thesis on July 7th.
-
‘Heart rate and skin conductance predict romantic attraction’
Synchronised heart rates and skin conductance tell us that people are attracted to each other. This explains why we feel a romantic ‘click’ with some people and not with others. This is the result of research by psychologist Eliska Prochazkova from the Leiden Institute for Brain and Recognition, which…
-
To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
-
CAM-PaC
The overall aim of CAM-PaC is to contribute to solving the socioeconomic and health challenges of PDAC by an integrative and systematic functional analysis of pancreatic cancer candidate genes. CAM-PaC will develop novel cellular and animal models, as well as novel strategies to analyse and integrate…
-
'The measurement model works, but the minister is setting reduction targets that are too high'
Opponents of drastic nitrogen measures argue that the nitrogen calculation model is not reliable enough. Nitrogen professor Jan Willem Erisman: 'It is now much more important to discuss the choices we make on the basis of the outcome. The differences are much bigger than the uncertainties in the mod…
-
“You cannot predict the future, but you can think about it!” Master’s Vitality and Ageing visits Vilans!
As part of the career orientation of the Master’s Vitality and Ageing, students visit various healthcare, policy and research organisations throughout the year. Students get introduced to relevant organisations where they have the possibility for a graduation internship and career opportunities. This…
-
Phyto-pharmaceuticals and gene targeting
We exploit secondary metabolites of plant to develop pharmaceutical compounds and we genetically modify plant genomes to improve crops.
-
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.
-
New quantum computer design to predict molecule properties
The standard approach to build a quantum computer with Majoranas as building blocks is to convert them into qubits. However, a promising application of quantum computing—quantum chemistry—would require these qubits to be converted again into so-called fermions. Physicists from Leiden and Delft suggest…
-
BioTherapeutics
Research in the BioTherapeutics research programme is aimed at a smoother and speedier transition from preclinical research to pharmacological interventions, and the delivery of drugs in the human body by use of small molecules and biologics.
-
Towards a mechanistic understanding of nanoparticle behavior using zebrafish
The work described in this dissertation contributes to a better mechanistic understanding of nanoparticles in vivo. To achieve that goal, we used the zebrafish as a highly predictive pre-screening model of nanoparticles.
-
Overview
Our research is aimed at a smoother and speedier transition from preclinical research to pharmacological interventions, and the delivery of drugs in the human body by use of small molecules and biologics.
-
Time is of the essence: investigating kinetic interactions between drug, endogenous neuropeptides and receptor
Promotor: A.P. IJzerman Co-promotor: L.H. Heitman
-
Vision and Mission
The need for novel drugs as well as innovations in their development and application is as urgent as ever. Below we present our vision , mission, and our key research areas.
-
Dynamic personalised sarcoma care: implementation of a mathematical prediction app in the clinic
A new app provides dynamic predictions of survival for patients suffering from soft tissue sarcoma. It was developed by the mathematical Institute research group DASPO, Data Analysis and Survival for Personalised Oncology.
-
Key publications
Key publications of the Computational Drug Discovery group