Contains a comprehensive collection of literature curated human signaling pathways. OmniPath develops a uniform representation of the data that includes references, directionality, sign and additional details for each interaction as available. This database integrates additional information on the structure and mechanism of the interactions, drug targets, functional annotation, tissue-specific expression and mutations to increase its applicability.
European Molecular Biology Laboratory–European Bioinformatics Institute, Hinxton, UK; Earlham Institute, Norwich, UK; Institute of Food Research, Norwich, UK; RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine, Aachen, Germany
OmniPath funding source(s)
This work was supported by the EMBL Interdisciplinary Postdoc Programme (EIPOD) under Marie Skłodowska-Curie COFUND Actions (grant number 291772), a fellowship in computational biology at the Earlham Institute (Norwich, UK) in partnership with the Institute of Food Research (Norwich, UK), and strategically supported by Biotechnological and Biosciences Research Council, UK (BB/J004529/1).