Tokyo-based Daiichi Pharmaceutical, a subsidiary of Daiichi Sankyo, took a risk five years ago when it opted for a still-unproven in silico approach to predict protein-protein interactions from Celestar Lexico-Sciences.

Daiichi decided to use the approach, which Celestar calls PPIP (protein-protein interaction prediction), as an alternative to the yeast two-hybrid system, which is the most commonly used experimental method for identifying protein-protein interactions, but is notoriously problematic with regard to efficacy and predictability.

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A new report highlights the potential threats posed by advances in synthetic biology, NPR reports.

Johns Hopkins University's Steven Salzberg and his colleagues have come up with a new estimate for the number of human genes, Nature News reports.

A Bloomberg reporter tried to get her genetic data deleted, but found it's not so simple to do.

In Genome Research this week: study of intra-tumor heterogeneity, workflow resources for EPIGEN-Brazil, and more.

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