Alexander R Dickson

Alexander R Dickson is a Professor at Michigan State University, holding joint appointments in the Department of Biochemistry & Molecular Biology and the Department of Computational Mathematics, Science and Engineering. He directs the Dickson Lab, which specializes in computational biophysics, molecular dynamics simulations of biomolecules (proteins, RNA, DNA), and network modeling of biological processes. His work bridges atomic-scale dynamics and cellular-level phenomena to advance drug discovery.

Education:

• Ph.D. in Chemistry, University of Chicago (2011)
• Hon.B.Sc. in Specialist Chemical Physics, University of Toronto (2006)

Research Focus:
Dr. Dickson's research employs computational techniques to simulate biomolecular motion and binding kinetics. Key areas include:

• Development of weighted ensemble algorithms for rare-event sampling (e.g., protein-ligand unbinding)
• Machine learning models (e.g., AGDIFF) for molecular geometry prediction
• Network-based analysis of chaperone systems and biological processes
• Kinetic optimization of peptide therapeutics targeting G protein-coupled receptors (e.g., CGRP for migraines)

Publication Insights:
His recent work reveals trends in computational drug design: molecular dynamics-driven studies of ligand binding transition states, enhanced sampling methodologies, and machine learning frameworks for structural prediction. Publications emphasize kinetics-based drug optimization and multi-scale modeling.

Laboratory:
The Dickson Lab develops open-source tools (e.g., Wepy, AGDIFF) for simulating biomolecular dynamics. Research integrates atomic-scale simulations with network models to study diseases and therapeutic interventions.