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Philip Kim: Structural Meets Systems Biology


Recommended by: Mark Gerstein, Yale University

For Philip Kim, an assistant professor at the University of Toronto, the interface of structural and systems biology is the ideal place for his lab to make an impact on the fields of genetic variation and protein interactions.

"We are working both on methodological questions — how to dissect signaling pathways — as well as more translational projects, such as developing inhibitors with potential anti-cancer efficacy," Kim says.

Publication of note

It was a 2006 Science report he and his colleagues published while he was a postdoc in Mark Gerstein's' lab at Yale that Kim says led his research in its current direction. "This was an early example of connecting two still very separate fields — structural and systems biology," he says of the paper. "Mainly, it showed that adopting the structural perspective is useful for protein-network studies and can distinguish proteins with different network properties."

While Kim credits his many advisors and mentors as influential to his career, he chalks his passion for research up to family. "It may sound a bit cliché, but still the greatest influence on me has come from my father, who was a scientist as well," he says.

The Scan

Genome Sequences Reveal Range Mutations in Induced Pluripotent Stem Cells

Researchers in Nature Genetics detect somatic mutation variation across iPSCs generated from blood or skin fibroblast cell sources, along with selection for BCOR gene mutations.

Researchers Reprogram Plant Roots With Synthetic Genetic Circuit Strategy

Root gene expression was altered with the help of genetic circuits built around a series of synthetic transcriptional regulators in the Nicotiana benthamiana plant in a Science paper.

Infectious Disease Tracking Study Compares Genome Sequencing Approaches

Researchers in BMC Genomics see advantages for capture-based Illumina sequencing and amplicon-based sequencing on the Nanopore instrument, depending on the situation or samples available.

LINE-1 Linked to Premature Aging Conditions

Researchers report in Science Translational Medicine that the accumulation of LINE-1 RNA contributes to premature aging conditions and that symptoms can be improved by targeting them.