STM publisher Elsevier has announced that it is collaborating with University College London (UCL) to analyze the applicability, scope and scientific viability, and value of protein function predictions. UCL will use Pathway Studio, part of Elsevier's R&D Solutions for Pharma & Life Sciences, to analyse and visualise biological relationships.
The project is part of the Elsevier-sponsored UCL Big Data Institute, an initiative that explores innovative ways to better serve the needs of researchers through the exploration of new technologies and analytics, as applied to scholarly content and data. The researchers will compare predictions of protein functions to information extracted from literature in the context of drug discovery; functional prediction for unknown proteins is also aligned with the development of Next-Generation Sequencing.
Pathway Studio helps biomedical researchers to understand complex biological processes, like those responsible for disease progression and responsiveness to treatment. It provides a comprehensive resource of easily searchable molecular cell interactions and tools for the analysis and visualization of disease mechanisms, gene expression, and proteomics and metabolomics data; saving researchers time and improving their chances of finding novel results. Pathway Studio enables biological researchers to import and analyze their experimental data in the context of the scientific literature, giving greater insight into the mechanisms of disease and accelerating biological research.
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