- Alberto Diaspro, Italian Institute of Technology
- Gerhard Gompper, Forschungszentrum Jülich
- Volkhard Helms, Saarland University
- Jonathon Howard, Max Plank Institute of Molecular Cell Biology and Genetics
- Werner Kremer, Universität Regensburg
- Jorg Langowski, Division Biophysics of Macromolecules
- Sanford Leuba, University Pittsburgh School of Medicine
- Dimitrios Morikis, University of California
- Terrence Oas, Duke University
- Garegin Papoian, University of Maryland
- Emad Tajkhorshid, Beckman Institute
- Dave Thirumalai, University of Maryland
- Rebecca Wade, Heidelberg Institute for Theoretical Studies
- Matti Weckstrom, University of Oulu
- Wei Yang, Florida State University
- Huan-Xiang Zhou, Florida State University
- Catherine Potenski, BioMed Central
To simulate biophysical interactions in the cell, various particle-based reaction-diffusion software packages are available, all with differing degrees of sophistication, computational cost and utility in answering biological questions.
An efficient analytical model can quantifiably assess the contributions of the various active and passive processes that drive unequal segregation of different macromolecules, organelles and complexes during cell division in yeast.
A computational framework for modelling the complex between the G-protein‐coupled receptor C5aR and its PMX53 antagonist peptide agree well with experimental data and may form the basis for generating reliable models of protein-ligand complexes of unknown structure.
An innovative graduate training program in biophysics and structural biology aims to integrate students in activities usually undertaken by more senior faculty members, empowering them to become better prepared for a career in academia.
A Debye-Hückel correction to the grid-based electrostatic potential used in atomic-detail many-protein Brownian dynamics simulations increases the accuracy of both the protein-protein interaction profiles and the protein diffusion coefficients at low ionic strength
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Biological Diffusion and Brownian Dynamics
Published: 2 March 2011