The Systems Biology Institute


Non-profit research institute (est. 2000) focused on systems biology. Uses computational modelling, machine learning, multi-omics data analysis, standards development, interoperable software platforms, and laboratory automation to support hypothesis generation, simulation, pathway curation, toxicology, drug/therapy design, and translation to clinical and industrial contexts. Produces community tools, standards and publishes peer-reviewed research across modelling, omics, and computational methods.

Industries

biotechnology
life-science
non-profit

Nr. of Employees

small (1-50)

The Systems Biology Institute

Higashi-shinagawa, Tokyo, Japan, Asia


Products

Graphical model editor for biochemical and gene-regulatory networks

A graphical editor for constructing, annotating and exporting biochemical and regulatory network models with support for process-diagram notation and standardized model formats for simulation and exchange.

Multilevel physiological modelling environment

Platform for constructing hierarchical multilevel physiological models enabling hybrid models and integration of morphometric domains for PDE-based simulation.

Pathway exploration and curation portals

Mobile and web tools for browsing curated molecular pathway maps and pathway libraries, with capabilities for community curation and model annotation.

Web services for network pharmacology and cell-type enrichment analysis

Online services providing network pharmacology prediction, docking-informed analysis and cell-type enrichment identification from transcriptomic data.


Services

Interoperability platform integration

Integration services to connect biomedical applications, databases, and analysis tools via an open API framework for discovery and coordinated operation.

Domain-specific web portals and data services

Hosting and maintenance of web portals and analysis services for specific domains such as infectious disease mapping, toxicology, pathway exploration and cell-type enrichment.

Multi-omics data analysis packs and HPC-enabled workflows

Provision and support for multi-omics analysis packages and deployment on scalable HPC/cloud infrastructure to support data-intensive analyses.

Expertise Areas

  • AI for scientific discovery
  • Computational platforms and interoperability
  • Multilevel physiological modelling
  • Network and pathway analysis and curation
  • Show More (8)

Key Technologies

  • Model representation standards (SBML)
  • Graphical notation standards (SBGN, SBGN-ML)
  • Physiological modelling languages and hybrid model formats (PHML/SBML hybrid)
  • Multilevel systems simulation
  • Show More (10)

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