A5050501540- Machine Learning in Materials Science
- Additive Manufacturing and 3D Printing Technologies
- Photoreceptor and optogenetics research
- Photochromic and Fluorescence Chemistry
- Gene expression and cancer classification
- Advanced biosensing and bioanalysis techniques
- Supramolecular Self-Assembly in Materials
- Multiple Myeloma Research and Treatments
- Protein Degradation and Inhibitors
- Advanced Biosensing Techniques and Applications
- Advanced Sensor and Energy Harvesting Materials
- Peptidase Inhibition and Analysis
Karlsruhe Institute of Technology
2022-2024
Abstract The ability of light to remotely control the properties soft matter materials in a dynamic fashion has fascinated material scientists and photochemists for decades. However, only recently our map photochemical reactivity finely wavelength resolved allowed different colors independently polymer networks with high precision, driven by monochromatic irradiation enabling orthogonal reaction control. current concept article highlights progress visible light‐induced photochemistry...
The development of miniaturized high-throughput in situ screening platforms capable handling the entire process drug synthesis to final is essential for advancing discovery future. In this study, an approach based on combinatorial solid-phase synthesis, enabling efficient libraries proteolysis targeting chimeras (PROTACs) array format presented. This on-chip platform allows direct biological without need transfer steps. UV-induced release target molecules into individual droplets facilitates...
Due to the large chemical space, design of functional and responsive soft materials poses many challenges but also offers a wide range opportunities in terms scope possible properties. Herein, an experimental workflow for miniaturized combinatorial high-throughput screening hydrogel libraries is reported. The data created from analysis photodegradation process more than 900 different types pads are used train machine learning model automated decision making. Through iterative optimization...
Due to the large chemical space, design of functional and responsive soft materials poses many challenges but also offers a wide range opportunities in terms scope possible properties. Herein we report an experimental workflow for miniaturized combinatorial high-throughput screening hydrogel libraries. The data created from analysis photodegradation process more than 900 different types pads is used train machine learning (ML) model automated decision making. Through iterative optimization...
Abstract Immobilization of oligonucleotides on solid surfaces is an important step in many experimental workflows biology, such as gene expression analysis, genotyping, and drug discoveries. Capturing a highly efficient miniaturized format still challenging. In this work, preparation functionalized acrylamide hydrogels droplet microarray (DMA) chip reported. By further modification these through the Cu‐catalyzed alkyne‐azide cycloaddition, are attached covalently, creating OligoHydrogelArray...