Publications associées à Development of organometallic ruthenium(II) anticancer (RAPTA) drugs

Publications associées (29)

Cyclic Peptides for Drug Development

Christian Heinis, Alexander Lund Nielsen, Xinjian Ji

Cyclic peptides are fascinating molecules abundantly found in nature and exploited as molecular format for drug development as well as other applications, ranging from research tools to food additives. Advances in peptide technologies made over many years ...

Wiley-VCH Verlag GmbH2024

Fungal mycelia: From innovative materials to promising products: Insights and challenges

Wenjing Sun

In transitioning toward a sustainable economy, mycelial materials are recognized for their adaptability, biocompatibility, and eco-friendliness. This paper updates the exploration of mycelial materials, defining their scope and emphasizing the need for pre ...

Aip Publishing2024

The predictive capacity of in vitro preclinical models to evaluate drugs for the treatment of retinoblastoma

Paul Joseph Dyson, Irina Sinenko, Roland Christopher Turnell-Ritson

Retinoblastoma is a rare childhood cancer of the eye. Of the small number of drugs are used to treat retinoblastoma, all have been repurposed from drugs developed for other conditions. In order to find drugs or drug combinations better suited to the improv ...

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2023

Impact of substrate clogging on vertical connectivity

Giovanni De Cesare, Robin Schroff, Romain Maxime Dubuis

Connectivity between the hyporheic zone and the flow is essential for the development of benthos and the reproductive success of spawning fish. The infiltration of fine sediment leads to clogging of the riverbed, reducing porosity and vertical water exchan ...

2023

Alchemical analysis of FDA approved drugs

Philippe Schwaller, Daniel Probst

Chemical space maps help visualize similarities within molecular sets. However, there are many different molecular similarity measures resulting in a confusing number of possible comparisons. To overcome this limitation, we exploit the fact that tools desi ...

2023

Swiss dams: Overview of historical development

Anton Schleiss

With more than 220 large dams in operation, compared to its surface of some 41ʹ000 km2, Switzerland has a very large fleet. They were erected to meet various economic and protection needs. Their main assignments concern the storage of water for later use, ...

CRC Press/Balkema2023

UAV in the advent of the twenties: Where we stand and what is next

Jan Skaloud, Davide Antonio Cucci

The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions in geoscience, remote sensing and engineering. H ...

2022

On the development of multi-physics tools for nuclear reactor analysis based on OpenFOAM (R): state of the art, lessons learned and perspectives

Carlo Fiorina

In the last two decades, the use of OpenFOAM as a multi-physics library for nuclear applications has grown from a sporadic use for exploratory studies to a widespread application for the analysis of innovative reactor concepts and highly complex problems. ...

ELSEVIER SCIENCE SA2022

Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets

Christoph Merten, Ngoc Hien Du

Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, ...

Nature Research2022

Assessing Computational Thinking: Development and Validation of the Algorithmic Thinking Test for Adults

Olivier Lévêque, Jessica Elke Dehler Zufferey, Cécile Hardebolle, Marc Lafuente Martinez

This study describes the development and validation process of a computational thinking (CT) test for adults. The team designed a set of items and explored a subset of those through two qualitative pilots. Then, in order to provide validity evidence based ...

2022

Towards Beam-Beam Simulations for FCC-ee

Péter Kicsiny, Xavier Buffat, Tatiana Pieloni, Mike Seidel, Giovanni Iadarola

The FCC-ee (Future Circular Collider) lepton collider is currently the most favored next generation research infrastructure project at CERN, aimed at studying properties of standard model particles with the highest precision ever. The chosen parameters of ...

JACoW Publishing, Geneva, Switzerland2022

Code Generation Approach Supporting Complex System Modeling based on Graph Pattern Matching

Dimitrios Kyritsis, Yan Yan, Jinzhi Lu

Code generation is an effective way to drive the complex system development in model-based systems engineering. Currently, different code generators are developed for different modeling languages to deal with the development of systems with multi-domain. T ...

ELSEVIER2022

Towards the Development of Orally Available Peptide Therapeutics

Christian Heinis, Xudong Kong

Peptides have a number of attractive properties that make them an interesting modality for drug development, including their ability to bind challenging targets, their high target specificity, and their non-toxic metabolic products. However, a major limita ...

2021

Fabrication of micrometer-sized drops as templates for particles

Mathias Steinacher

Drops are omnipresent in our daily life for example in the form of rain drops or as oil drops in a salad dressing. On a technological basis, drops can be used to conduct chemical or biological reactions. These drops often serve as templates to produce mate ...

EPFL2021

Developing the Catalytic Applications of 1,3,2-Diazaphospholenes

John Henry Reed

The development of new catalytic methods for organic synthesis is a critical endeavour in order to obviate the economic and ecological drawbacks of stoichiometric organic synthesis. While catalysis can offer significant advantages in terms of atom-economy, ...

EPFL2021

Gaussian Process Regression for Materials and Molecules

Michele Ceriotti, David Mark Wilkins

We provide an introduction to Gaussian process regression (GPR) machinelearning methods in computational materials science and chemistry. The focus of the present review is on the regression of atomistic properties: in particular, on the construction of in ...

AMER CHEMICAL SOC2021

A Knowledge Management Approach Supporting Model-Based Systems Engineering

Dimitrios Kyritsis, Jinzhi Lu

Model-based Systems Engineering (MBSE) is a noval approach to support complex system development by formalizing system artifacts and development using models. Though MBSE models provide a completely structural formalisms about system development for system ...

2021

A Drug Release Mechanism Controlled by Hydrophobic/Hydrophilic Balance of the Matrix. Theoretical and Experimental Perspectives

Maria-Alexandra Paun

Controlled drug release is a promising pathway of biomedicine, meant to suppress side effects with the aim of increasing patient's comfort. A route to achieve this goal represents the encapsulation of drugs into matrixes, capable to develop physical forces ...

REVISTA CHIMIE SRL2020

Challenges for biophysical modeling of microstructure

Ileana Ozana Jelescu

The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25 years. In this review, we dwell on the various challenges along the journey of bringing a biophysical model from initial design to clinical implementation, identifyi ...

2020

Increasing the relevance of science for practice and practice for science: Quantitative empirical insights

Claudia Rebeca Binder Signer, Livia Bianca Fritz, Ralph Hansmann

We present results of a survey conducted with researchers and practitioners involved in a Swiss National Research Programme on steering energy consumption. We analyse what motivates practitioners and researchers to engage in a collaborative research projec ...

2020