Concept
Inhibiteur enzymatique
Publications associées (609)
Antibody-peptide conjugates for targeted inhibition of cysteine proteases
We developed a rational approach to design peptide-based covalent inhibitors and coupled the inhibitors with antibodies for cell-specific delivery. We used this platform to generate antibody-peptide inhibitor conjugates (APICs) that target a family of prot ...
Nature Portfolio2024Optimality principles for the analysis of biological processes across scales: From enzyme kinetics to microbiome dynamics
Microorganisms are essential for life on Earth, performing key roles in numerous biological processes. Their influence extends across a wide spectrum, from human health and ecological balance to advancements in biotechnology and industrial applications. Th ...
EPFL2024Organ-specific biotransformation in salmonids: Insight into intrinsic enzyme activity and biotransformation of three micropollutants
Kristin Schirmer, Juliane Hollender
Aquatic ecosystems continue to be threatened by chemical pollution. To what extent organisms are able to cope with chemical exposure depends on their ability to display mechanisms of defense across different organs. Among these mechanisms, biotransformatio ...
Elsevier2024Development of cysteine cathepsin inhibitors combined with cell type-specific delivery for the treatment of B-cell lymphoma and solid tumors
Cysteine cathepsins proteases are enzymes that play essential physiological roles, but their activity is also associated to different aspects of cancer progression and to the development of other diseases. Therefore, cysteine cathepsins are relevant and pr ...
EPFL2024Peptide-based virucidal drugs
Before the COVID-19 pandemic, viruses were not a major priority for the scientific community. Today, many events have changed the world and the importance of studying viruses, vaccines, and antiviral drugs is fully appreciated. The development of effective ...
EPFL2024Graphene membranes with pyridinic nitrogen at pore edges for high-performance CO2 capture
Kumar Varoon Agrawal, Kuang-Jung Hsu, Marina Micari, Xuekui Duan, Shuqing Song, Luis Francisco Villalobos Vazquez de la Parra, Shiqi Huang, Shaoxian Li, Heng-Yu Chi, Liping Zhong
Membranes based on a porous two-dimensional selective layer offer the potential to achieve exceptional performance to improve energy efficiency and reduce the cost for carbon capture. So far, separation from two-dimensional pores has exploited differences ...
Nature Portfolio2024Solid-phase peptide synthesis in 384-well plates
Christian Heinis, Edward Jeffrey Will, Anne Sofie Luise Zarda, Alexander Lund Nielsen, Sevan Mleh Habeshian, Mischa Schüttel, Gontran Sangouard
Newer solid-phase peptide synthesis and release strategies enable the production of short peptides with high purity, allowing direct screening for desired bioactivity without prior chromatographic purification. However, the maximum number of peptides that ...
Hoboken2024Structural Basis of the Allosteric Inhibition of Human ABCG2 by Nanobodies
Henning Paul-Julius Stahlberg, Dongchun Ni
ABCG2 is an ATP-binding cassette transporter that exports a wide range of xenobiotic compounds and has been recognized as a contributing factor for multidrug resistance in cancer cells. Substrate and inhibitor interactions with ABCG2 have been extensively ...
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2023An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification
Assigning or proposing a catalysing enzyme given a chemical or biochemical reaction is of great interest to life sciences and chemistry alike. The exploration and design of metabolic pathways and the challenge of finding more sustainable enzyme-catalysed a ...
2023Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
Vassily Hatzimanikatis, Ljubisa Miskovic, Michaël Roger Germain Moret
Large omics datasets are nowadays routinely generated to provide insights into cellular processes. Nevertheless, making sense of omics data and determining intracellular metabolic states remains challenging. Kinetic models of metabolism are crucial for int ...
2023