Skip to main content
Premium Trial:

Request an Annual Quote

Gregory Bowman: Resisting Resistance

Premium

Recommended by: Vijay Pande, Stanford University

Many things contribute to the problem of antibiotic resistance. So the University of California, Berkeley's Gregory Bowman is using computer simulations and theoretical models to understand all the moving parts that contribute to protein function with the goal of providing new ways to block functions that lead to antibiotic resistance. "If you think of kids' toys, it's the little pieces that are often prone to breaking — little moving pieces — and so I want to find those and try to break them," Bowman says.

Bowman credits his PhD advisor, Stanford's Vijay Pande, with helping him think about protein dynamics and the existence of ensembles of conformations. "We've worked together a lot on developing methods for mapping out the conformational space that proteins explore, enumerating them and how often they transition between different conformations, and that's a really powerful tool going into the understanding of protein function," Bowman says. Eventually, he adds, computer simulations and theoretical models will become increasingly powerful, and more of these types of models will be used to provide insight in helping to guide experiments.

Publication of note

In March 2010, Bowman and Pande published a paper in PNAS on protein folding, in which they found that while protein folding sometimes seems very simple, there's often underlying complexity. "We can really map this out with these computational methods and even start making new predictions that have been found to be true in subsequent experiments," Bowman says.

And the Nobel goes to…

If Bowman were to win the coveted prize, he would want it to be for understanding the mechanisms of antibiotic resistance and providing a way to overcome them.

Filed under

The Scan

Study Tracks Responses in Patients Pursuing Polygenic Risk Score Profiling

Using interviews, researchers in the European Journal of Human Genetics qualitatively assess individuals' motivations for, and experiences with, direct-to-consumer polygenic risk score testing.

EHR Quality Improvement Study Detects Demographic-Related Deficiencies in Cancer Family History Data

In a retrospective analysis in JAMA Network Open, researchers find that sex, ethnicity, language, and other features coincide with the quality of cancer family history information in a patient's record.

Inflammatory Bowel Disease Linked to Gut Microbiome Community Structure Gradient in Meta-Analysis

Bringing together data from prior studies, researchers in Genome Biology track down microbial taxa and a population structure gradient with ties to ulcerative colitis or Crohn's disease.

Ancient Greek Army Ancestry Highlights Mercenary Role in Historical Migrations

By profiling genomic patterns in 5th century samples from in and around Himera, researchers saw diverse ancestry in Greek army representatives in the region, as they report in PNAS.