Updated on 26 August 2014
Network Verification Challenge aims to verify and enhance existing biological network models
Singapore: The Network Verification Challenge has generated a comprehensive set of biological models relevant to chronic obstructive pulmonary disease (COPD) which are now available for review by the global scientific community.
The challenge utilized a new methodology combining literature curation, data-driven prediction and crowd-sourced verification to produce models that represent the current status of scientific knowledge related to COPD onset and development. The models have the potential to enable improved understanding of lung biology as well as identification of clinically relevant COPD biomarkers and drug targets. They are available for download at https://bionet.sbvimprover.com
sbv IMPROVER Network Verification Challenge (NVC) aims to verify and enhance existing biological network models. The NVC is expected to increase the networks' value and promote their use in research applications such as drug discovery, personalized medicine and toxicological risk assessment
The models were created as part of the sbv IMPROVER project (systems biology verification: Industrial Methodology for PROcess VErification in Research), which aims to both establish methodological foundations for systems biology and to demonstrate that crowd sourcing is a viable strategy to verify scientific methods and concepts in an industrial context. The sbv IMPROVER approach was initially developed by Philip Morris International (PMI) and IBM Research in 2011-2013 and is now a collaborative effort led and funded by PMI Research and Development.