tldr-tools 0.1.7

Use TLDR for dockopt, decoy generation, and job management.

What is it?

A toolkit to interface https://tldr.docking.org/, a webserver home to a collection of docking optimization and benchmark molecular docking programs.

Installation

Installation is super easy and pip installable. Please make sure you have Python 3.6 installed.

$ pip install tldr-tools

The API_KEY, as found on the top right corner under tldr.docking.org, must be set as an environmental variable before usage. The API_KEY can be assigned in .env under the package root, or directly set in terminal.

# Method 1: Add under .env (recommended for for python notebooks)
$ echo "API_KEY=SOMESECRETKEY" > .env

# Method 2: Manually setting API_KEY (recommended for interactive jobs)
export API_KEY="SOMESECRETKEY"

Usage

To view the current implemented modules in tldr-tools, please run:

$ tldr-submit --list-modules

For example, if running decoy generation is desired:

tldr-submit --module decoys --activesism input_files/actives.ism --decoygenin input_files/decoy_generation.in --memo "Decoy generation for ADA, replicate 1"

Documenting runs with the optional memo parameter is encouraged.

Pass in a job number to check on a status of a run:

tldr-status --job-number 14886

Once a run is successful, you can download the output to a local directory:

tldr-download --job-number 14886 --output some_folder

Extending tldr-tools

Community and expansion is encouraged and made easy with this codebase. Adding new modules that are newly introduced on https://tldr.docking.org/ is painless, and is as simple as adding a new Endpoint and required/optional list of files.