ZeptoHit is a technology based on Artificial Intelligence (AI) which accelerates hit discovery. With only a protein sequence as information, ZeptoHit can quickly and efficiently recommend promising hits, without any limitations. Its search for promising compounds goes much beyond chemical structures
Last updated on: 21-03-2023 - 13:36
Contact: Segolene Martin
Organisation: Kantify
Status: Internally validated, Published in peer reviewed journal
ZeptoWard is a Machine Learning solution (AI) which identifies the ADMET properties of compounds. It can accurately predict over 80 properties related to absorption, distribution, metabolism, excretion, and toxicity properties, how a specific compound or combination of compounds will perform. It can
Last updated on: 21-03-2023 - 13:34
We aim to differentiate ovarian cells isolated from postmenopausal ovaries into steroidogenic theca interna cells. For this purpose, cryopreserved ovarian cortex fragments are used to isolate ovarian cells. These cells are cultured on collagen and supplemented with growth factors defined to promote
Last updated on: 20-03-2023 - 13:52
Contact: Hanne Vlieghe
Organisation: Université Catholique de Louvain (UCL)
Status: Published in peer reviewed journal
Generally, our research group aims to study the influence of food parameters (food design, food processing, food composition) on the digestive kinetics of diverse nutrients throughout the upper gastrointestinal tract. For this, we use in vitro digestion protocols. The current method is a semi
Last updated on: 15-02-2023 - 16:08
Contact: Tara Grauwet
Organisation: Katholieke Universiteit Leuven (KUL)
Status: Published in peer reviewed journal
Primary epithelial stem/progenitor cell populations are isolated from the murine lung using fluorescence-activated cell sorting (FACS) or magnetic-activated cell sorting (MACS). Purified epithelial stem/progenitor cells are grown together with mesenchymal cells in Matrigel, a material enriched for
Last updated on: 15-02-2023 - 10:50
Contact: Smole Ursula
Organisation: VIB - UGent
Status: Still in development, Published in peer reviewed journal
Full-wave electromagnetic (EM) simulations solve the laws of Maxwell for a given problem. When designing a wireless solution for an Internet of Animal Health (IoAH) application, multiple iterations are needed to achieve well-defined metrics such as energy efficiency, electrical and mechanical
Last updated on: 13-02-2023 - 16:48
Contact: Jasper Goethals
Organisation: Ghent University (UGent)
Partners: Ghent University (UGent)
Status: Internally validated
Computational neuroscience aims to study the nervous system by mathematical and computer simulations. Computational models can be built on multilevel scales. With the bottom-up approach, the model is built from the same building blocks as observed in human or animal tissue. As such, the functioning
Last updated on: 13-02-2023 - 16:45
Contact: Cannot be disclosed
Organisation: Ghent University (UGent)
Status: Still in development, Published in peer reviewed journal
This method is used to let cells interact for a better simulation of processes occurring in the body. The rational of the method is that monoculture experiments do not capture the complexity of in vivo interactions between different organs. In the most simple setup (published work Nutrients), Caco-2
Last updated on: 09-02-2023 - 16:37
Contact: Amar van Laar
Organisation: Ghent University (UGent)
Status: Published in peer reviewed journal
We devised a simple and reliable method for reprogramming peripheral blood mononuclear cells into hiPSC and then to differentiate them into air-liquid interface bronchial epithelium (iALI) within 45 days. Of note, this method does not involve any cell sorting step. We reprogrammed blood cells from
Last updated on: 07-02-2023 - 14:46
Contact: Engi Ahmed
Organisation: VIB - UGent, IRMB INSERM 1183
Status: History of use, Internally validated, Published in peer reviewed journal
The purpose of the present development is to use avian MoDCs to implement a cellular platform to increase understanding of the immune responses induced by various antigens of interest (e.g. vaccine candidates) and evaluate their immunogenic potential. Considering the difficulty to work on dendritic
Last updated on: 03-02-2023 - 08:51
