ISDB: In Silico Spectral Databases of Natural Products
Pierre-Marie Allard and Jonathan Bisson and Adriano Rutz

folder 8287341 (4 files)
fileisdb_neg.mgf 753.26MB
fileisdb_neg_cleaned.pkl 723.23MB
fileisdb_pos.mgf 1.00GB
fileisdb_pos_cleaned.pkl 940.62MB
Type: Dataset

Metadata:
@article{,
title= {ISDB: In Silico Spectral Databases of Natural Products},
journal= {},
author= {Pierre-Marie Allard and Jonathan Bisson and Adriano Rutz},
year= {},
url= {https://doi.org/10.5281/zenodo.8287341},
abstract= {An In Silico spectral DataBase (ISDB) of natural products calculated from structures aggregated in the frame of the LOTUS Initiative (https://doi.org/10.7554/eLife.70780).
Fragmented using cfm-predict 4 (https://doi.org/10.1021/acs.analchem.1c01465) .
In silico spectral database preparation and use for dereplication initially described in Integration of Molecular Networking and In-Silico MS/MS Fragmentation for Natural Products Dereplication https://doi.org/10.1021/ACS.ANALCHEM.5B04804
See https://github.com/mandelbrot-project/spectral_lib_builder for associated building scripts.
See https://github.com/mandelbrot-project/spectral_lib_matcher for associated matching scripts.
The pickle formated ISDBs are build for quicker loading via matchms.},
keywords= {mass spectrometry, metabolomics, metabolite annotation, spectral database, natural products},
terms= {},
license= {CC0},
superseded= {}
}

Citation:
Allard, P., Bisson, J., & Rutz, A.. (2025). ISDB: In Silico Spectral Databases of Natural Products [Data set]. Academic Torrents. https://academictorrents.com/details/ab530b4e6493c7e7c5539b65cdbe84263d15b4e6
No stats to report yet.

Send Feedback Start
   0.000006
DB Connect
   0.000530
Lookup hash in DB
   0.000424
Get torrent details
   0.000224
Get torrent details, finished
   0.000255
Get authors
   0.000023
Parse bibtex
   0.000134
Write header
   0.000241
get stars
   0.000106
home tab
   0.000296
render right panel
   0.000006
render ads
   0.000473
fetch current hosters
   0.000239
Start get stats
   0.000470
End get stats
   0.000001
related datasets
   0.007268
Done