4.7 Article

MecCog: a knowledge representation framework for genetic disease mechanism

Journal

BIOINFORMATICS
Volume 37, Issue 22, Pages 4180-4186

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btab432

Keywords

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Funding

  1. National Institute of Health [R01GM104436]
  2. National Science Foundation [DGE-1632976]

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MecCog is a graphical framework for building integrated representations of genetic disease mechanisms, displaying the propagation of system perturbations across stages of biological organization. It utilizes graphical notations, hyperlinked evidence tagging, a mechanism ontology, and depiction of knowledge gaps and uncertainties to enhance utility. The web platform enables users to construct, store, publish, browse, query, and comment on schemas, facilitating the identification of potential biomarkers and therapeutic intervention sites.
Motivation: Experimental findings on genetic disease mechanisms are scattered throughout the literature and represented in many ways, including unstructured text, cartoons, pathway diagrams and network graphs. Integration and structuring of such mechanistic information greatly enhances its utility. Results: MecCog is a graphical framework for building integrated representations (mechanism schemas) of mechanisms by which a genetic variant causes a disease phenotype. A MecCog mechanism schema displays the propagation of system perturbations across stages of biological organization, using graphical notations to symbolize perturbed entities and activities, hyperlinked evidence tagging, a mechanism ontology and depiction of knowledge gaps, ambiguities and uncertainties. The web platform enables a user to construct, store, publish, browse, query and comment on schemas. MecCog facilitates the identification of potential biomarkers, therapeutic intervention sites and critical future experiments.

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