An Online Biased Signaling Atlas

Autor: Jimmy Caroli, Alibek Mamyrbekov, Kasper Harpsøe, Sahar Gardizi, Linda Dörries, Eshan Ghosh, Alexander Hauser, Albert Kooistra, David Gloriam
Rok vydání: 2022
DOI: 10.21203/rs.3.rs-2155951/v1
Popis: Biased signaling is a paradigm in signal transduction whereby hormones, probes, or drugs bind the same receptor but engage different intracellular signaling pathways leading to distinct functional outcomes. Whereas there is a wealth of knowledge of bias signaling, it is scattered throughout literature and the vast majority of signaling pathways still lack a biased tool compound and functional annotation. Here, we provide an online Biased Signaling Atlas (https://BiasedSignalingAtlas.org) letting any researcher swiftly navigate 9,000 ligand bias datapoints and 640 functional/therapeutic annotations of signaling pathways, analyze ligand-bias relationships, download machine learning-ready data, select tool compounds, and calculate consistent bias values. We invite the global community to together advance biased signaling by depositing its data into the shared repository. This provides a common hub for the global research community to jointly explore the principals of signal transduction and to translate mapped molecular mechanisms to design drugs with better efficacy and safety.
Databáze: OpenAIRE