proteusPy 0.97.17.dev2

proteusPy - Protein Structure Analysis and Modeling Tools

Summary

proteusPy is a Python package specializing in the modeling and analysis of proteins of known structure with an emphasis on Disulfide bonds. This package reprises my molecular modeling program Proteus, a structure-based program developed as part of my graduate thesis. The package relies on the Turtle3D class to create and manipulate local coordinate systems. It does this by implementing the functions Move, Roll, Yaw, Pitch and Turn for movement in a three-dimensional space. The initial implementation focuses on the Disulfide class. The class implements methods to analyze the protein structure stabilizing element known as a Disulfide Bond. This class and its underlying methods are being used to perform a structural analysis of over 36,900 disulfide-bond containing proteins in the RCSB protein data bank (https://www.rcsb.org).

General Capabilities

• Interactively display disulfides contained in the RCSB in a variety of display styles
• Calculate geometric and energetic properties about these disulfides
• Create binary and octant structural classes by characterizing the disulfide torsional angles into n classes
• Build idealized disulfide bonds from dihedral angle input
• Find disulfide neighbors based on dihedral angle input
• Overlap disulfides onto a common frame of reference for display
• Build protein backbones from backbone phi, psi dihedral angle templates
• More in development

See API Reference for the API documentation with examples.

Requirements

1. PC running MacOS, Linux, Windows with git, git-lfs, make and C compiler installed.
2. 8 GB RAM
3. 1 GB disk space

Installation

It's simplest to clone the repo via GitHub since it contains all of the notebooks, data and test programs. Installation includes installing my Biopython fork which is required to rebuild the database (this is not needed generally). I highly recommend using Miniforge since it includes mamba. The installation instructions below assume a clean install with no package manager or compiler installed.

MacOS/Linux

• Install Miniforge: https://github.com/conda-forge/miniforge (existing Anaconda installations are fine but please install mamba)

• Install git-lfs:

  • https://help.github.com/en/github/managing-large-files/installing-git-large-file-storage

• Install make on your system.

• From a shell prompt while sitting in your repo dir:

  $ git clone https://github.com/suchanek/proteusPy.git
  $ cd proteusPy
  $ make pkg
  $ conda activate proteusPy
  $ make install
  

Windows

• Install Miniforge: https://github.com/conda-forge/miniforge (existing Anaconda installations are fine but please install mamba)

• Install git for Windows and configure for Bash:

  • https://git-scm.com/download/win

• Install git-lfs:

  • https://git-lfs.github.com/

• Install GNU make:

  • https://gnuwin32.sourceforge.net/packages/make.htm

• Open a Miniforge prompt and cd into your repo dir:

  (base) C:\Users\egs\repos> git clone https://github.com/suchanek/proteusPy.git
  (base) C:\Users\egs\repos> cd proteusPy
  (base) C:\Users\egs\repos\proteuspy> make pkg
  (base) C:\Users\egs\repos>\proteuspy> conda activate proteusPy
  (proteusPy) C:\Users\egs\repos> make install
  

Testing

pytest and docstring testing for the modules in place. To run them cd into the repository and run:

$ make tests

The modules will run their docstring tests and disulfide visualization windows will open. Simply close them. If all goes normally there will be no errors. If you're not running the development version of proteusPy you may need to install pytest. Simply perform: pip install pytest. Docstring testing is sensitive to formatting; occasionally the black formatter changes the docstrings. As a result there may be some docstring tests that fail.

Usage

Once the package is installed it's possible to load, visualize and analyze the Disulfide bonds in the RCSB Disulfide database. The general approach is:

• Load the database
• Access disulfide(s)
• Analyze
• Visualize

A simple example is shown below:

import proteusPy
from proteusPy import Load_PDB_SS, Disulfide

PDB_SS = Load_PDB_SS(verbose=True)

best_ss = PDB_SS["2q7q_75D_140D"]
best_ss.display(style="sb", light=True)

The notebooks directory contains my Jupyter notebooks and is a good place to start:

• Analysis_2q7q.ipynb provides an example of visualizing the lowest energy Disulfide contained in the database and searching for nearest neighbors on the basis of conformational similarity.
• Anearest_relatives.ipynb gives an example of searching for disulfides based on sequence similarity.

The programs subdirectory contains the primary programs for downloading the RCSB disulfide-containing structure files, extracting the disulfides and creating the disulfide database:

• DisulfideDownloader.py: Downloads the raw RCSB structure files. The download consists of over 35,000 .ent files and took about twelve hours on a 200Mb internet connection. It is necessary to have these files locally to build the database. The download is about 35GB in size.
• DisulfideExtractor_mp.py: Extracts the disulfides and creates the database loaders. This program is fully multi-processing, and one can specify the number of cores to use for the extract. The downloaded PDB files must be in $PDB/good. On my 14 core MacbookPro M3 Max the extraction of over 36,000 files and creation of the Disulfide loaders takes a bit over two minutes. This is in contrast to the initial single threaded version present in the initial release, which takes almost an hour to run!
• DisulfideClass_Analysis.py: Extracts consensus structures for the binary, sextant and octant classes. Each consensus class is the average structure in torsional space for that class. The number of members of each class is determined by the cutoff chosen at the time of program run. These can be found in the DATA_DIR directory. This analysis is ongoing.
• qt5viewer.py: A simple PyQt5 viewer to examine disulfides in the database. This is under active development. Currently not working under Linux since I can't seem to get PyQt5 to build.

The first time one loads the database via Load_PDB_SS() the system download full DisulfideList object. Once downloaded the DisulfideLoader is initialized, the binary, sextant and octant classdicts built, and the loaders saved.

Quickstart

After installation is complete launch jupyter:

$ jupyter notebook 

and open Analysis_2q7q.ipynb. This notebook looks at the disulfide bond with the lowest energy in the entire database. There are several other notebooks in this directory that illustrate using the program. Some of these reflect active development work so may not be 'fully baked'.

Visualizing the Disulfide Database

proteusPy now has three distinct ways of visualizing the Disulfides in the database. I'll describe these briefly below:

1. PyVista (built-in) - proteusPy utilizes the excellent PyVista library for visualization and manipulation of the Disulfides within the database. These routines are readily accessible from within the Jupyter notebook environment. It uses the VTK library on the backend and provides high-level access to 3D rendering. The menu strip provided in the Disulfide visualization windows allows the user to turn borders, rulers, bounding boxes on and off and reset the orientations. Please try them out! There is also a button for local vs server rendering. Local rendering is usually much smoother. To manipulate:

   • Click and drag your mouse to rotate
   • Use the mouse wheel to zoom (3 finger zoom on trackpad)

2. rcsb_viewer.py - This is a panel-based program to display the database interactively. Launch as shown, (replace the path with your own path):

   $ panel serve ~/repos/proteusPy/viewer/rcsb_viewer.py --show --autoreload
   

3. rcsb_viewer - Docker version. I've created a Docker image of the viewer. It's available on DockerHub at egsuchanek/rcsb_viewer:latest, as well as on GitHub at: ghcr.io/suchanek/rcsb_viewer. It's possible to build the image by going into the viewer directory and executing:

$ docker build -t rcsb_viewer .

To run, just execute:

  $ docker run -d  -p 5006:5006  --restart unless-stopped egsuchanek/rcsb_viewer:latest

Performance

• Manipulating and searching through long lists of disulfides can take time. I've added progress bars for many of these operations.
• Rendering many disulfides in pyvista can also take time to load and may be slow to display in real time, depending on your hardware. I added optimization to reduce cylinder complexity as a function of total cylinders rendered, but it can still be less than perfect. The faster your GPU the better!

Contributing/Reporting

I welcome anyone interested in collaborating on proteusPy! Feel free to contact me at mailto:[e-mail], fork the repository: https://github.com/suchanek/proteusPy/ and get coding. Issues can be reported to https://github.com/suchanek/proteusPy/issues.

Citing proteusPy

The proteusPy package was developed by Eric G. Suchanek, PhD. If you find it useful in your research and wish to cite it please use the following BibTeX entry:

@article{Suchanek2024,
  doi = {10.21105/joss.06169},
  url = {https://doi.org/10.21105/joss.06169},
  year = {2024},
  publisher = {The Open Journal},
  volume = {9},
  number = {100},
  pages = {6169},
  author = {Eric G. Suchanek},
  title = {proteusPy: A Python Package for Protein Structure and Disulfide Bond Modeling and Analysis},
  journal = {Journal of Open Source Software}
}
@software{proteusPy2024,
  author = {Eric G. Suchanek, PhD},
  title = {proteusPy: A Package for Modeling and Analyzing Proteins of Known Structure},
  year = {2024},
  publisher = {GitHub},
  version = {0.96},
  journal = {GitHub repository},
  url = {https://github.com/suchanek/proteusPy}
}

Publications

• proteusPy: A Python Package for Protein Structure and Disulfide Bond Modeling and Analysis
• Computer-aided Strategies for Protein Design
• An engineered intersubunit disulfide enhances the stability and DNA binding of the N-terminal domain of .lambda. repressor
• Analysis of disulfide bonds in protein structures