Gregory R. Bowman, Ph.D.

Associate Professor
Biochemistry and Molecular Biophysics

Computational and Systems Biology Program
Biochemistry, Biophysics, and Structural Biology Program

  • 314-362-7433

  • 314-362-7434

  • 2917 South Building

  • bowman@biochem.wustl.edu

  • http://bowmanlab.biochem.wustl.edu/

  • @drGregBowman

  • biophysics, protein dynamics, allostery, drug design, protein design, computer simulation, machine learning

  • The Bowman lab devises new ways to interpret genetic variation and combat global health threats by understanding/exploiting protein dynamics using a combination of biophysical experiments, machine learning, physics-based simulations, and the world's largest distributed computer.

Research Abstract:

To achieve our goals, we

1) Develop new computational and experimental methods for mapping out the ensemble of structures that a protein adopts instead of settling for a single static snapshot.

2) Understand how proteins function an malfunction in the context of global health threats like Alzheimer’s disease and COVID-19 by iteratively using simulations to gain mechanistic insight, conducting our own experimental tests of our models, and refining our models based on feedback from experiments.

3) Exploit our models to predict the impact of genetic variations on phenotype and to design new proteins and drugs.

To enable the massive calculations underlying our work, we run the Folding@home distributed computing project. This project empowers anyone with a computer and an internet connection to become a citizen scientist and accelerate biomedical research by running simulations on their personal computer(s). At present, over 200K devices are participating in Folding@home, enabling us to run calculations that would be impossible by any other means. We also develop Markov state model (MSM) methods, adaptive sampling algorithms, and machine learning tools to efficiently build maps of protein dynamics and extract valuable insights.

Mentorship and Commitment to Diversity Statement:

I see every trainee as a puzzle box. My job is to work with them to unlock their full potential.

Everyone who wants to pursue scientific excellence is welcome in my lab. Research is a major part of scientific excellence, but excellence also includes public engagement, training junior scientists, and many other aspects. As someone who is legally blind, I am active in promoting the engagement of people with disabilities in STEM and I encourage my lab to follow their own outreach passions.

My lab also runs the Folding@home distributed computing project, which provides opportunities to engage with a community of over 200K citizen scientists around the world.

You can learn more about my perspective on science and mentoring on Twitter (@drGregBowman #phdadvice).

Selected Publications:

Zimmerman MI, Porter JR, Ward MD, Singh
S, Vithani N, Meller A, Mallimadugula UL, Kuhn CE, Borowsky JH, Wiewiora RP,
Hurley MFD, Harbison AM, Fogarty CA, Coffland JE, Fadda E, Voelz VA, Chodera JD,
Bowman GR. SARS-CoV-2 simulations go exascale
to capture spike opening and reveal cryptic pockets across the proteome. Nature
Chemistry
2021.


Ward MD, Zimmerman MI, Meller A, Chung
M, Swamidass SJ, Bowman GR. Deep learning the structural determinants of
protein biochemical properties by comparing different structural ensembles. Nature
Communications
2021;12(1):1-12.


Vithani N, Ward MD, Zimmerman MI, Novak
B, Borowsky JH, Singh S, Bowman GR. SARS-CoV2
Nsp16 activation mechanism and a cryptic pocket with pan-coronavirus antiviral
potential. Biophys J 2021.


Porter JR, Meller A, Zimmerman MI,
Greenberg MJ, Bowman GR.
Conformational distributions of isolated myosin motor domains encode their
mechanochemical properties. eLife 2020;9:e55132.

Last Updated: 6/11/2021 9:35:40 PM

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