Mass spectral molecular networking of living microbial colonies

By J. Watrous, P. Roach, Theodore Alexandrov, Brandi S. Heath, Jane Y. Yang, R. Kersten, M. van der Voort, K. Pogliano, H. Gross, J. Raaijmakers and 4 more. Proceedings of the National Academy of Sciences of the United States of America, 2012

885 citations recorded by the source corpus.

Subfields: Clinical Biochemistry, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/a093e06c3d0f4c8263960872266df4e01bbb9af3

How researchers see this paper

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

In Clinical Biochemistry

1. Dan Knights
2. Shyamal Das Peddada
3. Philip Hugenholtz
4. Jessica L. Green
5. Rob Knight

In Molecular Biology

1. Rob Knight
2. Curtis Huttenhower
3. Antonio Gonzalez
4. Dan Knights
5. Yoshiki Vazquez-Baeza
6. Jack A. Gilbert
7. Daniel McDonald
8. Noah Fierer

In Pharmacology

1. Sebastian Böcker
2. Marnix H. Medema
3. Rob Knight
4. J. Raaijmakers

Citations in the corpus

• MolNetEnhancer: Enhanced Molecular Networks by Integrating Metabolome Mining and Annotation Tools (2019, background): “Indeed, since the molecular networking approach was proposed in 2012 [10], numerous complementary metabolome mining workflows as well as annotation and classification tools have been introduced including SIRIUS [3], CSI:FingerID [4], MetFusion [11], MetFamily [12], and many others of which some also”
• Searching molecular structure databases with tandem mass spectra using CSI:FingerID (2015, background): “Clearly, there exist other approaches with the broad aim of identifying metabolites, such as network-based methods (24 – 26) and combined approaches (27); see Hufsky et al. (28) for a review of computational methods in MS-based metabolite identification.”
• The rhizosphere microbiome: significance of plant beneficial, plant pathogenic, and human pathogenic microorganisms. (2013, background): “For specific members of the Gammaproteobacteria, they demonstrated that the disease-suppressive activity was governed by the production of a chlorinated lipopeptide, designated thanamycin (Mendes et al., 2011; Watrous et al., 2012).”
• American Gut: an Open Platform for Citizen Science Microbiome Research (2018, methodology): “Chemical annotations were carried out by automatic matching of fragmentation spectra to multiple databases using Global Natural Product Social Molecular Networking (GNPS) (34) and then examining the data at the MS/MS level by molecular networking (35).”
• A computational framework to explore large-scale biosynthetic diversity (2019, positive): “CORASON is available as a downloadable software and also allows working with customizable genomic databases.”