Data and code from: SIDERITE: Unveiling Hidden Siderophore Diversity in the Chemical Space Through Digital Exploration
Authors/Creators
Description
TMAP of COCONUT database
The script and data used in SIDERITE paper to generate TMAP picture (Figure S3 in supplementart material).
Requirement: tmap
You can install tmap by conda.
conda create -n tmap python=3.7
conda activate tmap
conda install -c tmap tmap
pip install faerun
pip install matplotlib
conda install scipy
conda install -c rdkit rdkit
conda install -c conda-forge mhfp
Usage: python plot_COCONUT.py
Then it will use COCONUT.csv to generate index.html and index.js. Open index.html to see result.
Other large input files
Tanimoto_COCONUT_SIDERITE.xlsx is the input file in SIDERITE/predicted_new/Clustering_coconut.m at main · RuolinHe/SIDERITE.
Sid_structure_output3.xlsx is used in SIDERITE/statistics/Figure1.m at main · RuolinHe/SIDERITE, SIDERITE/TAMP/tmap_code.m at main · RuolinHe/SIDERITE and SIDERITE/siderophore_process/Sid_process_code.m at main · RuolinHe/SIDERITE.
COCONUT4MetFrag_Canonical.xlsx is the input file in SIDERITE/TAMP/tmap_code.m at main · RuolinHe/SIDERITE.
COCONUT_r.txt is the output file in SIDERITE/TAMP/tmap_code.m at main · RuolinHe/SIDERITE. and the input file in SIDERITE/predicted_new/isSiderophore1.py at main · RuolinHe/SIDERITE.
COCONUT4MetFrag.xlsx is the input file in SIDERITE/TAMP/CheckSMILES2.py at main · RuolinHe/SIDERITE.
Files
COCONUT.csv
Files
(383.4 MB)
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Additional details
Dates
- Submitted
-
2023-09-01
Software
- Repository URL
- https://github.com/RuolinHe/SIDERITE
- Development Status
- Active