Main logo
?
tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

MOlecular Design Laboratory’s AntiMicrobial Peptides modlAMP

Online

Provides functions for calculating a variety of different molecular properties and amino acid residue-based peptide descriptors. ModlAMP is a Python package to ease the discovery and design of novel synthetic antimicrobial peptides (AMPs) via the amalgamation of sequence generation, descriptor calculation, machine learning, and data analysis in a single programming environment. Furthermore, it enables the in-silico generation of bespoke peptide libraries with desired properties.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

modlAMP forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

modlAMP classification

modlAMP specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Source code URL:
http://data-archive.ethz.ch/delivery/DeliveryManagerServlet?dps_pid=IE4903447
Interface:
Command line interface
Operating system:
Unix/Linux
License:
BSD 3-clause “New” or “Revised” License
Stability:
Stable
Maintained:
Yes

modlAMP distribution

versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

modlAMP support

Documentation

Maintainer

  • Gisbert Schneider <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

Institution(s)

Department of Chemistry and Applied Biosciences, Swiss Federal institute of Technology (ETH), Zurich, Switzerland

Funding source(s)

Supported by the Swiss National Science Foundation (grants no. 200021_157190, CRSII2_160699).

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.