a modern C++ library for mining structural information from the PDB
The MacroMolecular Transmission Format (MMTF) is a highly efficient file Format for the storage and processing of biomolecular data. As of January 2019, the entire Protein Data Bank (PDB) can be stored in under 10 Gb when using this format and compressed using the Gzip algorithm. As a result, a copy of the PDB is availible for here.
While packages are availible for decoding MMTF structures, these packages do not provide suitable working environments for exploring and manipulating the contents of an MMTF file. Further, few packages exist to run PDB-wide calculations easily, efficiently, and using parallel environments provided by traditional high-throughput computing clusters. Lemon solves this issue by providing both a C++-based API for reading PDB Hadoop sequence files and a parallel environment for launching PDB-wide calculations. We have deemed these PDB-wide calculations workflows and the remainder of this document details how to create and run these workflows in both C++ and Python environments.
C++ header library and example programs¶
Lemon’s source code is availible under the BSD license and located on GitHub. Lemon can be obtained using the following commands in a UNIX-like environment. To build the C++ side of Lemon, you need a C++11 compiler, the CMake build system. Note ASYNC features require a C++14 compiler.
For Python support, please install the Python interpreter and C development libraries for the version of Python you wish to use and sure that this version of Python is the default version used on the command-line.
git clone https://github.com/chopralab/lemon.git cd lemon mkdir build cd build # The LEMON_BUILD_PYTHON and LEMON_TEST_ASYNC variables are optional and # OFF by default cmake .. -DCMAKE_BUILD_TYPE=Release # Give additional build arguments here cmake --build . -- #(additional build arguments like -j2 or /m:2)
Prebuilt Python module for pip¶
A prebuilt version of Lemon is availible on the Python Package Index (PyPI). It can be installed for recent versions of Python (v3.5+). For Linux platforms, v2.7 is supported as well for legacy reasons. Use the following command to install it.
python3 -m pip install candiy-lemon
Note that this package uses the synchronous threading model and is compiled using a relatively old version of GCC to meet the requirements of the PyPI service. Therefore, some users may wish to install the package themselves. See the next section for details.
Building the Python module manually¶
Users interested in better compiler options can opt to build the Lemon module themselves. This is the only option for supporting older versions of Python and asynchronous threading. Make sure the python command corresponds to the version of Python you wish to build the module for.
git clone https://github.com/chopralab/lemon.git cd lemon python setup.py bdist_wheel --build-type MinSizeRel -- \ -DPYTHON_EXECUTABLE:FILEPATH=`which python` \ # Other cmake options here python -m pip install *.whl # The name of the wheel file is dependant on the python version
Please be sure to check the output of the build process to ensure the correct compiler, Python interpreter, and other build options are selected.
Developing a Lemon workflow¶
Lemon supports workflow development in both C++ or Python. We have documented for both languages is presented side-by-side as to avoid repetition of the same text and examples.
The underlying philosophy of the Lemon API is that of functional programming. Therefore, many functions operate on existing structures that the user initializes and passes to the operations of interest.