sbv IMPROVER: Modern Approach to Systems Biology

  • Svetlana GuryanovaEmail author
  • Anna Guryanova
Part of the Methods in Molecular Biology book series (MIMB, volume 1613)


The increasing amount and variety of data in biosciences call for innovative methods of visualization, scientific verification, and pathway analysis. Novel approaches to biological networks and research quality control are important because of their role in development of new products, improvement, and acceleration of existing health policies and research for novel ways of solving scientific challenges. One such approach is sbv IMPROVER. It is a platform that uses crowdsourcing and verification to create biological networks with easy public access. It contains 120 networks built in Biological Expression Language (BEL) to interpret data from PubMed articles with high-quality verification available for free on the CBN database. Computable, human-readable biological networks with a structured syntax are a powerful way of representing biological information generated from high-density data. This article presents sbv IMPROVER, a crowd-verification approach for the visualization and expansion of biological networks.

Key words

Systems Biology Network Model Signaling Pathway Crowdsourcing Crowd Verification sbv IMPROVER Biological Expression Language (BEL) 


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Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of SciencesMoscowRussia
  2. 2.Global Health Governance Journal - Seton Hall UniversitySouth OrangeUSA

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