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aaindex is a lightweight Python software package for accessing the data in the various AAIndex databases, which represent the physiochemical and biochemical properties of amino acids as numerical indices.

Project description

Python package for working with AAIndex database (https://www.genome.jp/aaindex/)

AAIndex Platforms PythonV pytest CircleCI License: MIT Issues Size

Table of Contents

Introduction

The AAindex is a database of numerical indices representing various physicochemical and biochemical properties of amino acids and pairs of amino acids. The AAindex consists of three sections: AAindex1 for the amino acid index of 20 numerical values, AAindex2 for the amino acid mutation matrix and AAindex3 for the statistical protein contact potentials. All data are derived from published literature [1].

This aaindex Python software package is a very lightweight way of accessing the data represented in the various AAIndex databases. Minimal requirements and external libraries are required to use the package and any record and its associated data/numerical indices can be accessed in one line. Currently the software supports the AAIndex1 database with plans to include the AAIndex 2 & 3 in the future. The format of an AAIndex1 record can be seen below:

Format of AAIndex record

alt text

  ************************************************************************
  *                                                                      *
  * H Accession number                                                   *
  * D Data description                                                   *
  * R Pub med article ID (PMID)                                          *
  * A Author(s)                                                          *
  * T Title of the article                                               *
  * J Journal reference                                                  *
  * * Comment or missing                                                 *
  * C Accession numbers of similar entries with the correlation          *
  *   coefficients of 0.8 (-0.8) or more (less).                         *
  *   Notice: The correlation coefficient is calculated with zeros       *
  *   filled for missing values.                                         *
  * I Amino acid index data in the following order                       *
  *   Ala    Arg    Asn    Asp    Cys    Gln    Glu    Gly    His    Ile *
  *   Leu    Lys    Met    Phe    Pro    Ser    Thr    Trp    Tyr    Val *
  * //                                                                   *
  ************************************************************************

A demo of the software is available here.

Requirements

Installation

Install the latest version of aaindex using pip:

pip3 install aaindex --upgrade

Install by cloning repository:

git clone https://github.com/amckenna41/aaindex.git
python3 setup.py install

Usage

The AAIndex module is made up of three modules for each AAindex database, with each having a Python class of the same name, when importing the package you should import the required database module:

from aaindex import aaindex1
# from aaindex import aaindex2
# from aaindex import aaindex3

Get record from AAIndex1

The AAindex1 class offers diverse functionalities for obtaining any element from any record in the database. The records are imported from a parsed json aaindex_json in the data folder of the package. You can search for a particular record by its index/record code, description or reference. You can also get the index category, and importantly its associated amino acid values:

from aaindex import aaindex1

full_record = aaindex1['CHOP780206']   #get full AAI record
''' full_record ->
{'category': 'sec_struct', 'correlation_coefficients': {}, 'description': 'Normalized frequency of N-terminal non helical region (Chou-Fasman, 1978b)', 'notes': '', 'pmid': '364941', 'references': "Chou, P.Y. and Fasman, G.D. 'Prediction of the secondary structure of proteins from their amino acid sequence' Adv. Enzymol. 47, 45-148 (1978)", 'values': {'-': 0, 'A': 0.7, 'C': 0.65, 'D': 0.98, 'E': 1.04, 'F': 0.93, 'G': 1.41, 'H': 1.22, 'I': 0.78, 'K': 1.01, 'L': 0.85, 'M': 0.83, 'N': 1.42, 'P': 1.1, 'Q': 0.75, 'R': 0.34, 'S': 1.55, 'T': 1.09, 'V': 0.75, 'W': 0.62, 'Y': 0.99}}
'''
#get individual elements of AAIndex record
record_values = aaindex1['CHOP780206']['values']
#'values': {'-': 0, 'A': 0.7, 'C': 0.65, 'D': 0.98, 'E': 1.04, 'F': 0.93, 'G': 1.41, 'H': 1.22, 'I': 0.78, 'K': 1.01, 'L': 0.85, 'M': 0.83, 'N': 1.42, 'P': 1.1, 'Q': 0.75, 'R': 0.34, 'S': 1.55, 'T': 1.09, 'V': 0.75, 'W': 0.62, 'Y': 0.99}
record_description = aaindex1['CHOP780206']['description']
#'description': 'Normalized frequency of N-terminal non helical region (Chou-Fasman, 1978b)'
record_references = aaindex1['CHOP780206']['refs']
#'references': "Chou, P.Y. and Fasman, G.D. 'Prediction of the secondary structure of proteins from their amino acid sequence' Adv. Enzymol. 47, 45-148 (1978)"
record_notes = aaindex1['CHOP780206']['notes']
#""
record_correlation_coefficient = aaindex1['CHOP780206']['correlation_coefficient']
#{}
record_pmid = aaindex1['CHOP780206']['pmid']
#364941
record_category = aaindex1['CHOP780206']['category']
#sec_struct

Get total number of AAIndex records

#get total number of records in AAI database
print(aaindex1.get_num_records())

Get list of all AAIndex record names

#get list of all AAIndex record names
print(aaindex1.get_record_names())

Directories

  • /tests - unit and integration tests for aaindex package.
  • /aaindex - source code and all required external data files for package.
  • /images - images used throughout README.
  • /docs - aaindex documentation.

Tests

To run all tests, from the main aaindex folder run:

python3 -m unittest discover

Contact

If you have any questions or comments, please contact amckenna41@qub.ac.uk or raise an issue on the Issues tab.

License

Distributed under the MIT License. See LICENSE for more details.

References

[1]: https://www.genome.jp/aaindex/
[2]: Shuichi Kawashima, Minoru Kanehisa, AAindex: Amino Acid index database, Nucleic Acids Research, Volume 28, Issue 1, 1 January 2000, Page 374, https://doi.org/10.1093/nar/28.1.374

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