2,198 search results for “drug development” in the Public website
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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…
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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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LED3 Lecture: Computational Drug Discovery
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LED3 Lecture: Covalent Drug Discovery
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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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PhD candidate combinatorial drug discovery with macrocycles
Science, Leiden Academic Centre for Drug Research (LACDR)
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Microneedle-based drug and vaccine delivery via nanoporous microneedle arrays
In the literature, several types of microneedles have been extensively described. However, porous microneedle arrays only received minimal attention. Hence, only little is known about drug delivery via these microneedles. However, porous microneedle arrays may have potential for future microneedle-based…
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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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New technique offers chemists unprecedented control in drug research
Leiden chemists have developed a new technique with which they can determine the role of kinases – a group of proteins – in a living cell. This technique makes it easier to find new drug targets for diseases such as cancer and rheumatoid arthritis. The team published the findings in the journal Nature…
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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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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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Systems pharmacology-based translational drug pharmacokinetics
High-throughput holistic preclinical screens are increasingly used in drug discovery, to assess both drug efficacy and drug safety.
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Activity-based protein profiling in drug discovery
In the last decades, activity-based protein profiling (ABPP) has emerged as a powerful chemical tool that may aid the ever-challenging drug discovery process.
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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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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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Drug use and harm reduction policies
Harm reduction in practice: a comparative analysis of the Dutch and Brazilian approach towards drug users.
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Discovery of metastasis promoting candidate drug targets
Discovery of metastasis promoting candidate drug targets
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Leiden PhD team in finals international pharmacological competition
A team of five PhD students from Leiden University is in the running for first prize in the Pharmacometrics Skills Competition. In a drug development simulation, they apply their mathematical pharmacological skills to solve clinical problems. On 24 March they will compete in the finals in Orlando, F…
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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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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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LED3 Lecture: Chemical Biology for Drug Discovery
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LED3 Lecture: Data Science in Drug Discovery
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LED3 Lecture: Proteomics in Drug Discovery
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LED3 Lecture: Synthetic Biology for Drug Discovery
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Adam Cohen receives Dr. Saal van Zwanenberg Honorary Prize
Professor of Clinical Pharmacology Adam Cohen from Leiden University received the prestigious Dr. Saal van Zwanenberg Honorary Prize on 12 November. The prize honours a scientist who has distinguished themselves in the field of research that has directly or indirectly led to the development of new medicines…
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GMP facility for innovative drugs (KFT-J10 / IGFL)
The GMP Facility facilitates development and production of Advanced Therapy Medicinal Products (ATMPs) and chemical (peptide) synthesis.
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Pedagogies of Prohibition: Time, Education, and the War on Drugs in Rio de Janeiro’s Zona Norte
Benjamin Fogarty-Valenzuela published the article 'Pedagogies of Prohibition: Time, Education, and the War on Drugs in Rio de Janeiro’s Zona Norte' in Cultural Anthropology 37. The article’s three sections focus on three forms of temporal control—busyness, punctuality, and rhythm—and each demonstrates…
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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?
- Leiden Academic Centre for Drug Research
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mRNA and drug delivery with lipid-based nanoparticles
This thesis focuses on the application of lipid-based nanomedicine in drug delivery, including small molecular antitumor drugs and biomacromolecules including mRNA, and evaluates their biological performance.
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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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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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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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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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Development of a Kidney-on-a-Chip Model for Compound Screening and Transport Studies
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer…
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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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The Role of Target Binding Kinetics in Drug Discovery
Source: ChemMedChem (2015)
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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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Discoverer of the Year bridges science and medicine
Fascinated by science since high school, Alireza Mashaghi Tabari is driven to explore new ways of thinking in medicine. With a strong academic network, he educates students and gives public lectures. For his research at LACDR, he won the C.J. Kok Public Award 2018, making him the Faculty of Science's…
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LED3 Lecture: Microbial Natural Products in Drug Discovery
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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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vesicles: An efficient membrane biophysical tool and its application in drug delivery studies
Promotor: A. Kros
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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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Development of innovative engineered models for viral diseases
A main goal of MSBB research is to address the major bottle-necks in combatting viral diseases: the lack of experimental models that are representative of human pathology and are cost effective and versatile. Viral diseases such as those that cause viral hemorrhagic syndromes or severe acute respiratory…
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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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A community effort to assess and improve drug sensitivity prediction algorithms
Source: Nature Biotechnology, Volume 2014, Issue June (2014)
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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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The LeiCNS-PK3.0 model development and applications: healthy-to-diseased CNS pharmacokinetic translation
Accurate prediction of the unbound drug concentration-time profile at the CNS target site is crucial for the assessment of the right drug concentration-effect relationship. PBPK models have supported the PK prediction of the CNS target sites and the translation of PK data between species and between…
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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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Finding unique drug structures with artificial intelligence and chemistry
In the search for new medicines against diseases such as cancer, a Leiden team has developed a new workflow. This approach combines artificial intelligence (AI) with molecular modelling and is suitable for finding unknown and innovative drug structures, the researchers proved.