Skip to main content

Shows protein backbone structures in compact graphical form using Ramachandran numbers

Project description

  ____             _    __  __          _____  
 |  _ \           | |  |  \/  |   /\   |  __ \ 
 | |_) | __ _  ___| | _| \  / |  /  \  | |__) |
 |  _ < / _` |/ __| |/ / |\/| | / /\ \ |  ___/ 
 | |_) | (_| | (__|   <| |  | |/ ____ \| |     
 |____/ \__,_|\___|_|\_\_|  |_/_/    \_\_|     
                       (Multi-angle Picture)                                             

This tool provides easily readable "pictures" of protein conformations, ensembles, and trajectories saved as either a combined protein databank (PDB) structure file, or a directory of such files, and produces graphs.

Installation

pip install backmap

RE-installation

pip install -I backmap

Usage

Module Usage

import backmap
print backmap.R(phi=0,psi=0)

See the manuscript for more information regarding uses.

Stand-alone Usage

python -m backmap.__init__ -pdb ./pdbs/ProteinDatabankStructureFilename.pdb
python -m backmap.__init__ -pdb /directory/containing/pdbs/

The .__init__ is needed because the main file we are referencing is backmap/__init__.py.

Expected output to the stand alone mode

Three graphs (in both png/raster and pdf/vector format)

./pdbs/reports/filename.rcode.pdf/png      (y-axis: residue #; color: R number based on "-signed" and <rcode_cmap>)
./pdbs/reports/filename.rcode.his.pdf/png  (y-axis: Ramachandran number (R); color: frequency of R in model)
./pdbs/reports/filename.rcode.rmsf.pdf/png (y-axis: residue #; color: RMSF in R from the previous model)
./pdbs/reports/filename.rcode.rmsd.pdf/png (y-axis: residue #; color: RMSD in R from the previous model)

(the last two files may not be created if only one model exists in the PDB file.)

Additional tags

-h       -     Prints a help file
-ss      -     Color the ramachandran number codes (R-codes) by 
               secondary structure (default: color by chirality and sign)
-signed  -     Use the signed version of the ramachandran number

Publications

The Ramachandran number concept is discussed in the following manuscripts (this tool is discussed in the first reference):

  1. Mannige (2018) "The Backmap Python Module: How a Simpler Ramachandran Number Can Simplify the Life of a Protein Simulator" Manuscript Prepared. Preprint available the manuscript/manuscript subdirectory of this repo.
  2. Mannige, Kundu, Whitelam (2016) "The Ramachandran Number: An Order Parameter for Protein Geometry" PLoS ONE 11(8): e0160023. Full Text: https://doi.org/10.1371/journal.pone.0160023

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

backmap-0.0.1.post0.dev13.tar.gz (48.3 MB view details)

Uploaded Source

File details

Details for the file backmap-0.0.1.post0.dev13.tar.gz.

File metadata

File hashes

Hashes for backmap-0.0.1.post0.dev13.tar.gz
Algorithm Hash digest
SHA256 6afa6d12ee02000add6a9fe1380a52603569ddf4e3a14d341982efafbc8d2ac0
MD5 4e1a4df57bb3d8f2aeac06d4520f8086
BLAKE2b-256 7934360f75b582713b7a34816519cdda120868fa1494a0c146597a5d6699f60b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page