Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment

Bioinformatics. 2017 Nov 15;33(22):3679-3681. doi: 10.1093/bioinformatics/btx399.

Abstract

Motivation: The concept of a 'mechanism-based taxonomy of human disease' is currently replacing the outdated paradigm of diseases classified by clinical appearance. We have tackled the paradigm of mechanism-based patient subgroup identification in the challenging area of research on neurodegenerative diseases.

Results: We have developed a knowledge base representing essential pathophysiology mechanisms of neurodegenerative diseases. Together with dedicated algorithms, this knowledge base forms the basis for a 'mechanism-enrichment server' that supports the mechanistic interpretation of multiscale, multimodal clinical data.

Availability and implementation: NeuroMMSig is available at http://neurommsig.scai.fraunhofer.de/.

Contact: martin.hofmann-apitius@scai.fraunhofer.de.

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Algorithms*
  • Humans
  • Internet
  • Knowledge Bases*
  • Models, Biological
  • Neurodegenerative Diseases / genetics
  • Neurodegenerative Diseases / metabolism*
  • Neurodegenerative Diseases / physiopathology*
  • Software