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Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of Mpox.
Karki, Reagon; Gadiya, Yojana; Zaliani, Andrea; Gribbon, Philip.
Afiliación
  • Karki R; Discovery Research ScreeningPort, Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), Schnackenburgallee 114, 22525 Hamburg, Germany.
  • Gadiya Y; Fraunhofer Cluster of Excellence for Immune-Mediated Diseases (CIMD), Theodor Stern Kai 7, 60590 Frankfurt, Germany.
  • Zaliani A; Discovery Research ScreeningPort, Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), Schnackenburgallee 114, 22525 Hamburg, Germany.
  • Gribbon P; Fraunhofer Cluster of Excellence for Immune-Mediated Diseases (CIMD), Theodor Stern Kai 7, 60590 Frankfurt, Germany.
Bioinform Adv ; 3(1): vbad045, 2023.
Article en En | MEDLINE | ID: mdl-37187795
ABSTRACT

Summary:

The outbreak of Mpox virus (MPXV) infection in May 2022 is declared a global health emergency by WHO. A total of 84 330 cases have been confirmed as of 5 January 2023 and the numbers are on the rise. The MPXV pathophysiology and its underlying mechanisms are unfortunately not yet understood. Likewise, the knowledge of biochemicals and drugs used against MPXV and their downstream effects is sparse. In this work, using Knowledge Graph (KG) representations we have depicted chemical and biological aspects of MPXV. To achieve this, we have collected and rationally assembled several biological study results, assays, drug candidates and pre-clinical evidence to form a dynamic and comprehensive network. The KG is compliant with FAIR annotations allowing seamless transformation and integration to/with other formats and infrastructures. Availability and implementation The programmatic scripts for Mpox KG are publicly available at https//github.com/Fraunhofer-ITMP/mpox-kg. It is hosted publicly at https//doi.org/10.18119/N9SG7D. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Bioinform Adv Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Bioinform Adv Año: 2023 Tipo del documento: Article País de afiliación: Alemania