Integration of Molecular Networking and In-Silico MS/MS Fragmentation for Natural Products Dereplication.

By Pierre-Marie Allard, T. Péresse, J. Bisson, K. Gindro, L. Marcourt, V. Pham, F. Roussi, M. Litaudon, J. Wolfender. Analytical Chemistry, 2016

368 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/48dd04a4a3006d98064013cd4c131e2c085b2e31

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Tobias Kind
2. David S. Wishart
3. Oliver Fiehn
4. I. Blaženović
5. Jian Ji
6. Jianguo Xia
7. Sebastian Böcker
8. Jasmine Chong

In Spectroscopy

1. David S. Wishart
2. Oliver Fiehn
3. Tobias Kind
4. I. Blaženović
5. Jian Ji
6. Jianguo Xia
7. Jasmine Chong

Citations in the corpus

• Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics (2018, methodology): “A conceptual compound ID workflow has been described that includes in silico metabolic synthesis, in silico fragmentation [168] and finally annotation of compounds via database scoring [169].”
• Metabolomics for Investigating Physiological and Pathophysiological Processes. (2019, background): “They are also allowing scientists to identify or characterize previously unknown compounds with far greater speed and accuracy than ever imagined (9, 379, 380).”