DFS specifications


Unique identifier OMICS_20327
Name DFS
Alternative name Double Force Scanning
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python, Shell (Bash)
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.0
Stability Stable
Requirements Cython, setuptools, numpy, h5py, ProDy, OpenBLAS (for Mas OS), a C compiler
Maintained Yes



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  • person_outline Arianna Fornili <>
  • person_outline Matteo Tiberti <>

Publication for Double Force Scanning

DFS institution(s)
School of Biological and Chemical Sciences, Queen Mary University of London, London, UK; Department of Computer Science, College of Engineering, Design and Physical Sciences and Synthetic Biology Theme, Institute of Environment, Health and Societies, Brunel University London, Uxbridge, London, UK; Randall Division of Cell and Molecular Biophysics, King’s College London, London, UK; The Francis Crick institute, London, UK; The Thomas Young Centre for Theory and Simulation of Materials, London, UK
DFS funding source(s)
Supported by the Biotechnology and Biological Sciences Research Council [BB/M019829/1].

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