Skip to main content

HLADR4Pred2

A computational approach to predict HLA-DRB1-04:01 binders using the sequence information of the peptides.

Introduction

HLADR4Pred2 is an update of HLADR4Pred published by our group in 2004. It is developed to predict, scan, and, design the binders of HLA-Class II allele HLA-DRB1-04:01 using sequence information only. In the standalone version, extra-tree classifier based model is implemented alongwith the BLAST search, named it as hybrid approach. HLADR4Pred2 is also available as web-server at https://webs.iiitd.edu.in/raghava/hladr4pred2. Please read/cite the content about the HLADR4Pred2 for complete information including algorithm behind the approach.

Pip

The pip version of hladr4pred2 is written in python3 and following libraries are necessary for the successful run:

  • scikit-learn
  • Pandas
  • Numpy
  • blastp

Minimum USAGE

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

hladr4pred2 -h

To run the example, type the following command:

hladr4pred2 -i example_input.fa

This will predict if the submitted sequences are Binders or Non-binder. It will use other parameters by default. It will save the output in "outfile.csv" in CSV (comma seperated variables).

Full Usage

usage: hladr4pred2 [-h] 
                       [-i INPUT 
                       [-o OUTPUT]
		       [-j {1,2,3}]
		       [-t THRESHOLD]
                       [-w {9,10,11,12,13,14,15,16,17,18,19,20}]
		       [-d {1,2}]
Please provide following arguments for 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
  -j {1,2,3}, --job {1,2,3}
                        Job Type: 1:Predict, 2: Design, 3:Scan, by default 1
  -t THRESHOLD, --threshold THRESHOLD
                        Threshold: Value between 0 to 1 by default 0.16
  -w {9,10,11,12,13,14,15,16,17,18,19,20}, --winleng {9,10,11,12,13,14,15,16,17,18,19,20}
                        Window Length: 9 to 20 (scan mode only), by default 9
  -d {1,2}, --display {1,2}
                        Display: 1:Binders only, 2: All peptides, by default 1

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

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

Threshold: User should provide threshold between 0 and 1, by default its 0.16.

Job: User is allowed to choose between three different modules, such as, 1 for prediction, 2 for Designing and 3 for scanning, by default its 1.

Window length: User can choose any pattern length between 9 and 20 in long sequences. This option is available for only scanning module.

Display type: This option allow users to fetch either only HLA-DRB1-04:01 binding peptides by choosing option 1 or prediction against all peptides by choosing option 2.

Metadata

Release files for hladr4pred2 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hladr4pred2 1.0.0
File Size Uploaded Provenance Actions
hladr4pred2-1.0.0.tar.gz 29.1 MB Without provenance Details for hladr4pred2-1.0.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for hladr4pred2 1.0.0
File Interpreter ABI Platform Actions
hladr4pred2-1.0.0-py3-none-any.whl Python 3 none any Details for hladr4pred2-1.0.0-py3-none-any.whl

Total release size: 58.3 MB

Release files / hladr4pred2-1.0.0.tar.gz

Download URL hladr4pred2-1.0.0.tar.gz
Size 29.1 MB
Tags Source
SHA-256 checksum
How to use checksums
9b0866d7c70303140847676f00f101d15e3e183817844c033a000ce157118346
BLAKE2b-256 checksum
How to use checksums
ce3f09c866dcb500d51b19af4bc06b6d5ca6bb2a62ddbe04f40d4e5ee1298227
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.17

Release files / hladr4pred2-1.0.0-py3-none-any.whl

Download URL hladr4pred2-1.0.0-py3-none-any.whl
Size 29.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
dfb1cec705d7d5a3c977818d80f423e689e8dca623d3c3e1951945951c3c9534
BLAKE2b-256 checksum
How to use checksums
1888008e434476db34fb15a2033ee0402eb78a7dfb021319b7bb75e58d6d8b23
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.17

Security for hladr4pred2 1.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page