3.8 Article

Computational methods for NMR and MS for structure elucidation II: database resources and advanced methods

Journal

PHYSICAL SCIENCES REVIEWS
Volume 4, Issue 11, Pages -

Publisher

WALTER DE GRUYTER GMBH
DOI: 10.1515/psr-2018-0167

Keywords

NMR and MS databases; dereplication; spectral similarity networks

Funding

  1. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo(FAPESP) [2013/07600-3, 2014/50926-0, 2016/13292-8, 2017/17098-4]
  2. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
  3. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [167874/2014-4, 152243/2016-0, 142014/2018-4]
  4. Termo de Execucao Descentralizado Arbocontrol [74/2016]
  5. Finatec [120/2017]

Ask authors/readers for more resources

Technological advances have contributed to the evolution of the natural product chemistry and drug discovery programs. Recently, computational methods for nuclear magnetic resonance (NMR) and mass spectrometry (MS) have speeded up and facilitated the process of structural elucidation even in high complex biological samples. In this chapter, the current computational tools related to NMR and MS databases and spectral similarity networks, as well as their applications on dereplication and determination of biological biomarkers, are addressed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available