Computational Molecular Biophysics Group

Wake Forest University · Department of Physics

We use molecular simulation, statistical analysis, and machine learning to understand how biomolecules move—and how those motions shape recognition, regulation, and disease.

From molecular motion to biological mechanism

The Salsbury Group develops and applies physics-based computational methods to proteins, nucleic acids, and small molecules. Our work connects atomistic molecular dynamics with rigorous statistical analysis to identify meaningful motions, allosteric communication, and molecular interactions.

We work at the boundary of molecular physics, biophysics, and data science, often in collaboration with experimental scientists. The goal is not simply to produce simulations, but to turn complex molecular trajectories into testable physical insight.

01

Molecular dynamics

Atomistic simulations of biomolecular structure, flexibility, interactions, and rare conformational change.

02

Allostery & regulation

How local binding or mutation reshapes communication across proteins and molecular complexes.

03

Data-driven biophysics

Statistical and machine-learning approaches for separating robust signals from high-dimensional simulation data.

04

Molecular discovery

Computational studies that support drug discovery and mechanistic questions in cancer and other diseases.

A collaborative group

Physics, computation, and biology in conversation

Our projects bring together quantitative modeling and experimental context. We contribute computational expertise to interdisciplinary research and train students to build careful, reproducible analyses.

Shared Resource

For students, researchers, and collaborators

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People & opportunities

Learn about the group's leadership, training environment, and current public recruiting status.

Latest updates

Recent and representative work