Skip to main content

A tool to predict anti-bacterial peptides

Project description

AntiBP3

A tool for predicting and designing Antibacterial peptides for three groups of bacteria using the sequence information.

Introduction

Antibacterial peptides (ABPs) are specific cationic AMPs against various bacterial species that disturb the bacterial cell membrane with different mechanisms. The ABPs can also hamper intracellular processes of the bacterial pathogen in different ways, such as modulating the enzymatic activity, protein degradation & synthesis and nucleic acid synthesis, which gives an advantage over traditional antibiotics in developing resistance. Hence, develop an Antibacterial prediction tool for gram-positive, gram-negative and gram-variable bacteria. AntiBP3 is also available as a web server at https://webs.iiitd.edu.in/raghava/antibp3. Please read/cite the content about the AntiBP3 for complete information, including the algorithm behind the approach.

Installation

To install the package, type the following command:

pip install -i https://test.pypi.org/simple/ antibp3

Minimum USAGE

To know about the available option for the standalone, type the following command:

antibp3 -h

This will predict if the submitted sequences are Antibacterial or non-Antibacterial for the chosen class of bacteria. It will use other parameters by default. It will save the output in "outfile.csv" in CSV (comma-separated variables).

Full Usage

usage: antibp3 [-h] 
                       [-i INPUT 
                       [-o OUTPUT]
                       [-s {1,2,3}]
		       [-j {1,2,3,4,5}]
		       [-t THRESHOLD]
                       [-e EVAL]
		       [-d {1,2}]
		       [-wd WORKING]
Please provide the following arguments for the successful run

Optional arguments:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        Input: protein or peptide sequence(s) in FASTA format or single sequence per line in single letter code
  -o OUTPUT, --output OUTPUT
                        Output: File for saving results by default outfile.csv
  -s {1,2,3}, --source {1,2,3}
                        Source: 1:GP ABPs, 2:GN ABPs, 3:GV ABPs by default 1
 -j {1,2,3,4,5}, --job {1,2,3,4,5}
                        Job Type: 1:Predict, 2:Design, 3:BLAST Search 4:Motif Scan, 5:Protein Scan ; by default 1
  -t THRESHOLD, --threshold THRESHOLD
                        Threshold: Value between 0 to 1 by default 0.5 for GP ABPs, 0.45 for GN ABPs and 0.51 for GV ABPs   
  -e EVAL, --eval EVAL  E-value for Blast search (Blast Search only), by default 0.01 for GP ABPs, 0.01 for GN ABPs and 0.001 for GV ABPs
  -w {8,9,10,11,12,13,14,15,16,17,18,19,20}, --winleng {8,9,10,11,12,13,14,15,16,17,18,19,20}
                        Window Length: 8 to 20 (scan mode only), by default 8
  -d {1,2}, --display {1,2}
                        Display: 1:ABPs only, 2: All peptides, by default 1
  -wd WORKING, --working WORKING
                        Working Directory: Location for writing results

Input File: It allows users to provide input in the FASTA format.

Output File: Program will save the results in the CSV format; if the user does not provide the output file name, it will be stored in "outfile.csv".

Source: User should provide sources 1,2, and 3; by default, it's 1 for GP ABPs.

Working Directory: This option allows users to set the working directory in which they want to get the output files.

Job: User is allowed to choose between three different modules, such as 1 for prediction, 2 for Designing, 3 for Blast scan, 4 for Motif scan and 5 for Protein scan; by default, it's 1.

Threshold: User should provide a threshold between 0 and 1; by default, 0.5 for GP ABPs, 0.45 for GN ABPs and 0.51 for GV ABPs

Window length: User can choose any pattern length between 8 and 20 in long sequences. This option is available for only scanning module.

e-value: User is allowed to choose an e-value for Blast search between 0.0001 to 1e-20; by default, 0.01 for GP ABPs, 0.01 for GN ABPs and 0.001 for GV ABPs

Display type: This option allow users to fetch either only Antibacterial peptides by choosing option 1 or prediction against all peptides by choosing option 2.

AntiBP3 Package Files

It contains the following files; a brief description of these files is given below

INSTALLATION : Installations instructions

LICENSE : License information

README.md : This file provides information about this package

envfile : This file comprises paths for the database and blastp executable

antibp3.py : Main Python program.

model : This folder contains the models

motif : This folder contains the list of motifs

example_file.fasta : Test example file contains peptide sequences in FASTA format

example_predict_output.csv : Example output file for predict module

example_blast_output.csv : Example output file for Blast scan module

example_proteinscan_output.csv : Example output file for Protein scan module

example_motifscan_output.csv. : Example output file for motif scan module

example_design_output.csv : Example output file for design module

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

antibp3-1.0.tar.gz (38.2 MB view details)

Uploaded Source

Built Distribution

antibp3-1.0-py3-none-any.whl (38.8 MB view details)

Uploaded Python 3

File details

Details for the file antibp3-1.0.tar.gz.

File metadata

  • Download URL: antibp3-1.0.tar.gz
  • Upload date:
  • Size: 38.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for antibp3-1.0.tar.gz
Algorithm Hash digest
SHA256 4157649bef6a3d51d0db34ce21f30c027ad4beadc983fc2702a7aa558566b46d
MD5 472586e177372bf52fb3edd284d4a2dd
BLAKE2b-256 3815f6d76e8f013b6eb150260df42c061fb519728d053d9485b48f098fd2bba0

See more details on using hashes here.

File details

Details for the file antibp3-1.0-py3-none-any.whl.

File metadata

  • Download URL: antibp3-1.0-py3-none-any.whl
  • Upload date:
  • Size: 38.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for antibp3-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4d8a938c9de4f671c01ce2d2d040d9790f041e2bdb442b12c12d450d2c5acb89
MD5 3090829c3beef4774b2e8389a89430fd
BLAKE2b-256 1862b7a303aae6da8fd48ffc34d2bea5895bb5747eb53c95977de97c81c228fd

See more details on using hashes here.

Supported by

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