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Source code for the paper: Daberdaku S. 2019. Identification of protein pockets and cavities by Euclidean Distance Transform. PeerJ Preprints 7:e27314v2 https://doi.org/10.7287/peerj.preprints.27314v2

License: BSD 3-Clause "New" or "Revised" License

Makefile 0.52% Python 5.71% Shell 0.07% C++ 87.95% C 5.66% Objective-C 0.09%

pocavedt's Introduction

PoCavEDT

Source code for the paper: Daberdaku S. 2019. Identification of protein pockets and cavities by Euclidean Distance Transform. PeerJ Preprints 7:e27314v2 https://doi.org/10.7287/peerj.preprints.27314v2

Prerequisites

  • g++ >= v6.3.0 (with openmp support)
  • Boost C++ Libraries >= v1.55.0 (required libraries: regex system program_options thread)
  • Python 2.7
  • biopython https://biopython.org/
  • pymol

Build instructions

git clone [email protected]:sebastiandaberdaku/PoCavEDT.git
cd PoCavEDT
make all

Running the program

See ./python/runPoCavEDT.py

pocavedt's People

Contributors

sebastiandaberdaku avatar

Stargazers

Benbo Gao avatar

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