Literature DB >> 32535345

BMDMS-NP: A comprehensive ESI-MS/MS spectral library of natural compounds.

Sangwon Lee1, Sungbo Hwang1, Myungwon Seo1, Ki Beom Shin1, Kwang Hoe Kim2, Gun Wook Park2, Jin Young Kim2, Jong Shin Yoo3, Kyoung Tai No4.   

Abstract

The Bioinformatics & Molecular Design Research Center Mass Spectral Library - Natural Products (BMDMS-NP) is a library containing the mass spectra of natural compounds, especially plant specialized metabolites. At present, the library contains the electrospray ionization tandem mass spectrometry (ESI-MS/MS) spectra of 2739 plant metabolites that are commercially available. The contents of the library were made comprehensive by incorporating data generated under various experimental conditions for compounds with diverse molecular structures. The structural diversity of the BMDMS-NP data was evaluated using molecular fingerprints, and it was sufficiently exhaustive enough to represent the structures of the natural products commercially available. The MS/MS spectra of each metabolite were obtained with different types/brands of ion traps (tandem-in-time) or combinations of mass analyzers (tandem-in-space) at multiple collision energies. All spectra were measured repeatedly in each environment because variations can occur in spectra, even under the same conditions. Moreover, the probability, separability of searching, and transferability of this spectral library were evaluated against those of MS/MS libraries, namely: NIST17 and MoNA.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Metabolites; Natural products; Spectral library; Tandem mass spectrum

Mesh:

Year:  2020        PMID: 32535345     DOI: 10.1016/j.phytochem.2020.112427

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  1 in total

1.  Identification of Novel Natural Product Inhibitors against Matrix Metalloproteinase 9 Using Quantum Mechanical Fragment Molecular Orbital-Based Virtual Screening Methods.

Authors:  Hocheol Lim; Hansol Hong; Seonik Hwang; Song Ja Kim; Sung Yum Seo; Kyoung Tai No
Journal:  Int J Mol Sci       Date:  2022-04-18       Impact factor: 6.208

  1 in total

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