Pipeline for development of acylated peptide based CGRP receptor antagonist with extended half-life for migraine treatment.

Migraine is a debilitating headache disorder. The disease has neurovascular origin and migraine attacks can be elicited by vasodilative neuropeptides such as alpha calcitonin gene-related peptide (αCGRP). Antagonizing CGRP actions in migraine patients has proven clinically efficient.

Machine-Learning-Guided Peptide Drug Discovery: Development of GLP-1 Receptor Agonists with Improved Drug Properties.

Peptide-based drug discovery has surged with the development of peptide hormone-derived analogs for the treatment of diabetes and obesity. Machine learning (ML)-enabled quantitative structure-activity relationship (QSAR) approaches have shown great promise in small molecule drug discovery but have been less successful in peptide drug discovery due to limited data availability. We have developed a peptide drug discovery platform called streaMLine, enabling rigorous design, synthesis, screening, and ML-driven analysis of large peptide libraries.

Uncovering CNS access of lipidated exendin-4 analogues by quantitative whole-brain 3D light sheet imaging.

Peptide-based drug development for CNS disorders is challenged by poor blood-brain barrier (BBB) penetrability of peptides. While acylation protractions (lipidation) have been successfully applied to increase circulating half-life of therapeutic peptides, little is known about the CNS accessibility of lipidated peptide drugs. Light-sheet fluorescence microscopy (LSFM) has emerged as a powerful method to visualize whole-brain 3D distribution of fluorescently labelled therapeutic peptides at single-cell resolution.

Feasibility, use and benefits of patient-reported outcome measures in palliative care units: a multicentre observational study.

Background: Research has shown that routinely assessed, patient-reported outcome measures (PROMs) have positive effects in patients with advanced oncologic diseases. However, the transferability of these results to specialist palliative care is uncertain because patients are more impaired and staff doubt the feasibility and benefits. The aim of this study is to evaluate the feasibility of patient self-assessment of PROMs, their use by staff and the benefits in palliative care wards.

Measuring the Influence of Environmental Conditions on Automotive Lidar Sensors.

Safety validation of automated driving functions is a major challenge that is partly tackled by means of simulation-based testing. The virtual validation approach always entails the modeling of automotive perception sensors and their environment. In the real world, these sensors are exposed to adverse influences by environmental conditions such as rain, fog, snow, etc.