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1.
J Am Soc Mass Spectrom ; 29(9): 1940, 2018 09.
Article in English | MEDLINE | ID: mdl-29998360

ABSTRACT

In the article "Fungal Secretome Analysis via PepSAVI-MS: Identification of the Bioactive Peptide KP4 from Ustilago maydis", acknowledgement of financial support was inadvertently omitted. The authors apologize for this oversight.

2.
J Am Soc Mass Spectrom ; 29(5): 859-865, 2018 05.
Article in English | MEDLINE | ID: mdl-29404970

ABSTRACT

Fungal secondary metabolites represent a rich and largely untapped source for bioactive molecules, including peptides with substantial structural diversity and pharmacological potential. As methods proceed to take a deep dive into fungal genomes, complimentary methods to identify bioactive components are required to keep pace with the expanding fungal repertoire. We developed PepSAVI-MS to expedite the search for natural product bioactive peptides and herein demonstrate proof-of-principle applicability of the pipeline for the discovery of bioactive peptides from fungal secretomes via identification of the antifungal killer toxin KP4 from Ustilago maydis P4. This work opens the door to investigating microbial secretomes with a new lens, and could have broad applications across human health, agriculture, and food safety. Graphical Abstract.


Subject(s)
Anti-Infective Agents/chemistry , Peptides/chemistry , Ustilago/chemistry , Viral Proteins/chemistry , Models, Molecular , Peptide Library , Tandem Mass Spectrometry , Ustilago/virology
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