Dereplication of peptidic natural products through database search of mass spectra-Reference-Cited by-同舟云学术

Dereplication of peptidic natural products through database search of mass spectra

Published:2016-10-31 Issue:1 Volume:13 Page:30-37
ISSN:1552-4450
Container-title:Nature Chemical Biology
language:en
Short-container-title:Nat Chem Biol

Author:

Mohimani Hosein,Gurevich Alexey^ORCID,Mikheenko Alla,Garg Neha,Nothias Louis-Felix,Ninomiya Akihiro,Takada Kentaro,Dorrestein Pieter C,Pevzner Pavel A

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology

Link

http://www.nature.com/articles/nchembio.2219.pdf

Reference58 articles.

1. Li, J.W. & Vederas, J.C. Drug discovery and natural products: end of an era or an endless frontier? Science 325, 161–165 (2009).

2. Fischbach, M.A. & Walsh, C.T. Antibiotics for emerging pathogens. Science 325, 1089–1093 (2009).

3. Ling, L.L. et al. A new antibiotic kills pathogens without detectable resistance. Nature 517, 455–459 (2015).

4. Harvey, A.L., Edrada-Ebel, R. & Quinn, R.J. The re-emergence of natural products for drug discovery in the genomics era. Nat. Rev. Drug Discov. 14, 111–129 (2015).

5. Donia, M.S. & Fischbach, M.A. Small molecules from the human microbiota. Science 349, 1254766 (2015).

Cited by 195 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deciphering the complexity of the chemicals in food packaging materials using molecular networks;Food Chemistry;2025-01

2. Mining microbial and metabolic dark matter in extreme environments: a roadmap for harnessing the power of multi-omics data;Advanced Biotechnology;2024-08-05

3. Triumphs and Challenges of Natural Product Discovery in the Postgenomic Era;Annual Review of Biochemistry;2024-08-02

4. Interaction of Acinetobacter sp. RIT 592 induces the production of broad-spectrum antibiotics in Exiguobacterium sp. RIT 594;Frontiers in Pharmacology;2024-08-01

5. LUMIOS – Label using machine in organic samples – A software for dereplication, molecular docking, and combined machine and deep learning;Expert Systems with Applications;2024-08