Section Editors

  • 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

Executive Editor

  • Catherine Potenski, BioMed Central


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  • Image attributed to:

    Correcting single-molecule sample drift

    A new metric based on distance between molecules seeks to solve the sample drift correction required by super-resolution microscopy, using the position information of molecules to estimate frame drift.

    BMC Biophysics 2015, 8:1
  • Image attributed to:

    Protein filaments as fences

    Simulation models of the the pooling of phospholipid PIP2 show that protein filaments must consist of multiple rows or be buried below the surface of the membrane to act as effective molecular fences.

    BMC Biophysics 2014, 7:13
  • Image attributed to:

    Tools to model molecular reactions

    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.

    BMC Biophysics 2014, 7:11
  • Image attributed to:

    Analyzing asymmetric cell division

    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.

    BMC Biophysics 2014, 7:10
  • Image attributed to: Fig 4C Tamamis et al BMC Biophysics

    Modelling GPCR protein-ligand complexes

    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.

    BMC Biophysics 2014, 7:5


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ISSN: 2046-1682