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Daniel Burns

CNLS Postdoctoral Research Assosciate
T-CNLS

Computational Biophysics

Office: TA-3, Bldg 1690, Room 142
Mail Stop: B258
Email: dcburns@lanl.gov

Research highlight

    I am interested in engineering proteins for biotechnological applications. Proteins are large, complex, and dynamic polymers that can sample many different conformations with different functional properties. The fundamental question of how their shapes and motions are governed by their unique amino acid sequences must be answered if we hope to engineer new proteins with precision. Modeling these proteins in silico and simulating their dynamics with modern techniques and hardware, we can collect high resolution details on proteins to help us address this question. Using these tools and data analysis techniques, I recently developed a method and accompanying python library that reveals critical sequence and structure elements governing the functionally critical dynamics of proteins.

 Educational Background/Employment:
  • B.S. 2009 Marine Biology, University of Hawaii at Manoa
  • Ph.D. 2024 Biophysics, Iowa State University
  • Employment:
    • 2019-2024: Graduate Research Assistant, Iowa State University, Ames, IA
    • 2009-2011: Scientist 1, General Atomics, Lihue, HI

Research Interests:

  • Computational design of proteins
  • Molecular dynamics simulations of biomolecules
  • Software development for biophysics
Google Scholar

Selected Recent Publications:

  1. Dane Marijan; Evgenia A. Momchilova; Daniel Burns; Sahil Chandhok; Richard Zapf; Holger Wille; Davit A. Potoyan; Timothy E. Audas. Protein thermal sensing regulates physiological amyloid aggregation (2024) 10.1038/s41467-024-45536-0
  2. Daniel Burns; Vincenzo Venditti; Davit A. Potoyan. Illuminating Protein Allostery by Chemically Accurate Contact Response Analysis (ChACRA) (2024) https://doi.org/10.1021/acs.jctc.4c00414
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