Big Data in 3 Dimensions

Viewing oncogenic mutations in 3-D showed that they cluster together on folded proteins.

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MAPMAKING: A tool for visualizing data on metabolic pathways reveals new relationships among cancer-causing mutations.© ISTOCK.COM/SHULZ

The paper
E. Brunk et al., “Recon3D enables a three-dimensional view of gene variation in human metabolism,” Nat Biotechnol, 36:272-81, 2018.

DISPARATE DATA
To make better sense of the accumulated knowledge about human metabolic pathways gathered by different research groups, researchers led by Elizabeth Brunk, a structural systems biologist at the University of California, San Diego, constructed a database that displays aggregated protein structure, pharmacogenomic associations, and phenotypic data in 3D.

FILLING THE GAPSRecon3D’s inclusion of protein structural information from thousands of labs in a massive searchable map is the model’s “biggest step forward from other metabolic reconstructions,” says Brunk. Often, the data may be incomplete or may contain experimental artifacts; the team filled in those gaps using homology modeling, a technique in which researchers construct a ...

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  • Jim Daley

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