Description

A fast and user-friendly method to predict antimicrobial peptides (AMPs) from any given size protein dataset. ampir uses a supervised statistical machine learning approach to predict AMPs.

Input

Name
Description
Pattern

0 ()

1 ()

model (string)

Built-in model for AMP prediction

{precursor,mature}

min_length (integer)

Minimum protein length for which predictions will be generated

[0-9]+

min_probability (float)

Cut-off for AMP prediction

[0-9].[0-9]+

Output

Name
Description
Pattern

0 ()

0 ()

0 ()

Tools

ampir Documentation

A toolkit to predict antimicrobial peptides from protein sequences on a genome-wide scale.

https://github.com/Legana/ampirdoi: 10.1093/bioinformatics/btaa653License: GPL v2
Authors