1,440 zoekresultaten voor “computer aided drug design” in de Publieke website
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Multi-objective mixed-integer evolutionary algorithms for building spatial design
Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.
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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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Inverse design of curvature-sensing antiviral peptides
Viral diseases constitute one of the major challenges in modern medicine. Membrane-targeting have broad-spectrum potential and could distinguish viral membranes from the host cell plasma membrane by the difference in membrane curvature.
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Electoral Systems and Turnout: Evidence From a Regression Discontinuity Design
Electoral Systems and Turnout: Evidence From a Regression Discontinuity Design. In dit artikel, gepubliceerd op de website SAGE research methods, bespreken auteurs Jaroslaw Kantorowicz en Tobias M. Hlobil hoe een Regression Discontinuity Design uitgevoerd kan worden.
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Computer Mediated Communicatie
Toen de corona-pandemie uitbrak, veranderde er ineens heel veel in onze dagelijkse communicatie. We konden familie niet meer bezoeken en de scholen sloten. Door de coronamaatregelen communiceerden we veel meer digitaal met familie, vrienden/vriendinnen en leraren of klasgenoten. Dat was voor iedereen…
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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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 target engagement biomarkers for better drug candidates
M van der Stelt
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Designing Data protection law: hebben we een beter idee?
Wat is een goede wetgeving inzake gegevensbescherming? Hoe kan een dergelijke wetgeving goed worden ontwikkeld? Is de Europese wetgeving hierover adequaat, en is deze toepasbaar in China?
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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scheduling of cyclo-static dataflow and its application in system-level design
Promoter: Ed F. Deprettere, Co-promoter: Todor P. Stefanov
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Computer Science and Science Communication & Society (MSc)
In deze opleiding ligt de focus op het informeren van het algemene publiek over belangrijke wetenschappelijke onderwerpen en hoe je deze communicatie wetenschappelijk onderbouwt.
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Design and synthesis of metal-based chemotherapeutic agents for targeted DNA interactions or DNA repair pathway modulation
The research presented in this thesis explores the chemotherapeutic potential of metal-based compounds as chemotherapy agents, with an initial focus on the synthesis and DNA interaction studies of platinum and palladium compounds utilizing the [Pt(bapbpy)]2+ scaffold. The study identifies intercalation…
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Een stuk heelal in de computer
Simulaties van sterrenstelsels helpen om astronomische waarnemingen beter te begrijpen. De EAGLE simulatie, een groot project waarin Leidse astronomen een hoofdrol hebben, laat de evolutie van het heelal zien, van vlak na de Oerknal tot nu.
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Smart Industrial Parks in China: towards Joint Design and Institutionalization
How to contribute to a quantum leap of eco-industrial symbiosis in China?
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A chemical biology approach for targeting of ligand-drug conjugates
Promotores: H.S. Overkleeft, G.A. van der Marel, Co-Promotor: R.G. Boot
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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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Leiden Institute of Advanced Computer Science
De maatschappij en de wetenschap veranderen in hoog tempo door grote ontwikkelingen in digitale informatieverwerking. Het LIACS staat hier middenin met vooraanstaand onderzoek in gegevensverwerking en kunstmatige intelligentie. Dat bereikt het instituut door een unieke combinatie van fundamenteel en…
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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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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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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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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Design and development of conformational inhibitors and activity-based probes for retaining glycosidases
Glycosidases are essential in fundamental biological processes and are responsible for the degradation of most (oligo)saccharides, glycolipids and glycoproteins.
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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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Design, synthesis, and evaluation of antigenic peptide conjugates containing Toll-like receptor agonists
This thesis describes the design, synthesis, and immunological evaluation of varying (neo)antigenic peptide conjugates containing either a TLR2 or a TLR7 agonist.
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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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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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Methods to simulate fermions on quantum computers with hardware limitations
This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.
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Design, synthesis and application of paramagnetic probes for protein structure studies
The main subject of this thesis is the design and synthesis of paramagnetic molecules for protein studies with NMR and EPR spectroscopy.
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System-level design for efficient execution of CNNs at the edge
A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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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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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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Design, implementation and evaluation of transnational collaborative programmes in astronomy education and public outreach
Promotores: Prof.dr. G. Miley & Prof.dr. J.M. van den Broek
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.
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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
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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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Designing 'context-specific' regional innovation policy: a study on the role of regional government in six European regions
Whilst government’s ability to design ‘context-specific’ regional innovation policy is generally assumed to depend on the region’s decision-making power, the aim of this study is to investigate how regional government matters. In order to open up the black box of policy design, the study develops a…
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Latest hardware for computer research on medical imaging
The LIACS Media Lab has received a research grant from the worldwide leading graphics hardware company NVIDIA. The grant exists of newly developed hardware utilizing thousands of processors. LIACS researchers will use it to investigate deep learning in understanding imagery from sources such as MRI…
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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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Research Design in Politcal Science: Het nieuwe boek van Dimiter Toshkov is nu beschikbaar
Het nieuwe boek van Dimiter Toshkov - universitair hoofddocent Bestuurskunde aan de Faculteit Governance and Global Affairs - is onlangs gepubliceerd door Palgrave Macmillan.
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Design and development of a comprehensive data management platform for cytomics: cytomicsDB
Promotor: Prof.dr. J.N. Kok
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Collaborative learning in higher education: design, implementation and evaluation of group learning activities
Samenwerkend leren in het hoger onderwijs: ontwerp, implementatie en evaluatie van groepsleeropdrachten
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Design and evaluation of video portfolios: reliability, generalizability, and validity of an authentic performance assessment for teachers
In welke mate zijn beoordelingen op basis van een videodossier betrouwbaar, generaliseerbaar en valide?
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Optimisation of first clinical studies in special populations: towards semi-physiological pharmacokinetic models
M. Danhof, Co-promotores: J. Freijer, A. Yassen
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Design and synthesis of next generation carbohydrate-mimetic cyclitols: towards deactivators of inverting glycosidases and glycosyl transferases
Synthetic methodlogy is described, aiding in the synthetic preparation of putative inhibitors of retaining and inverting glycosidases and glycosyl transferases. All constructs are cyclophellitol-based cyclitols.
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2 Lecturer positions (0.6-1.0 FTE) in Computer Science, Machine Learning, and AI
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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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…