The Metabolic Disassembler
Project description
The Metabolic Disassembler is a Python package to automatically predict a combination of biosynthetic building blocks in a metabolic compound. This software would help to reveal the basic metabolites constructing the target product.
Installation
Install The Metabolic Disassembler with pip.
$ pip install metadisassembler
Requirements
Python (3.6)
Command Line Usage
% metadisassembler -h
usage: metadisassembler [-h] [-t TIME] [--hide] [-c] [-p] query
positional arguments:
query MDL_Molfile, SMILES, InChI, KEGG_COMPOUND_ID,
KNApSAcK_COMPOUND_ID
optional arguments:
-h, --help show this help message and exit
-t TIME, --time TIME set a time limit [s] [default: 300]
--hide hide stereochemistry [default: False]
-c, --color output color allocation information [default: False]
-p, --pro you never miss any combination (NOT RECOMMENDED).
[default: False]
Basic Usage
An example notebook is available here.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
metadisassembler-0.0.4.tar.gz
(906.5 kB
view details)
Built Distribution
File details
Details for the file metadisassembler-0.0.4.tar.gz
.
File metadata
- Download URL: metadisassembler-0.0.4.tar.gz
- Upload date:
- Size: 906.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d481862095662eed0087f5959a71fd9855038b698fcff0b08c2277e576810ae |
|
MD5 | 4d33019b994e564d391519e33d18ff7a |
|
BLAKE2b-256 | 0d182476b3ce3b92354c53451c8294a2a6314f0725ba094ebd8d66eb5096d88f |
File details
Details for the file metadisassembler-0.0.4-py3-none-any.whl
.
File metadata
- Download URL: metadisassembler-0.0.4-py3-none-any.whl
- Upload date:
- Size: 950.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 597824830280fb62bb6dd8ea704197c917076ab14e01faeda4a21926b689fb56 |
|
MD5 | d5ac6a0046b25a066b9bf49a8dfe4717 |
|
BLAKE2b-256 | b6341135c17851bc661d434a6adf62ddadd922e4f6fcf508ad0f24d7ff146342 |