Application of Fungal Cyclic Peptides and Metabolites

Nedvěd, Jan; Šulc, Miroslav; Jegorov, Alexandr; Giannakopulos, Anastassios E.; Havlı́ček, Vladimı́r

doi:10.1002/9783527622153.ch27

Search citation statements

Order By: Relevance

Paper Sections

Select...

Low-molecular Weight Fungal Molecules Used In Vitro and In Vivo2

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2011

2013

Publication Types

Select...

Book1

Article1

Relationship

Self Cite1

Independent1

Authors

Journals

Cited by 2 publications

(2 citation statements)

References 164 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These strategies and mechanisms can be studied by imaging mass spectrometry (28), e.g., for direct visualization of metabolites secreted by combating microrganisms (29). The idea of using biologically active small molecules for microorganism identification is not new, and the approach benefits from the large amount of information that can be obtained from the fungal metabolome (30). Going from the gene and proteome levels down to ribosomal and nonribosomal products poses a problem in terms of sample complexity.…”

Section: Low-molecular Weight Fungal Molecules Used In Vitro and In Vivomentioning

confidence: 99%

See 1 more Smart Citation

Fungal Metabolites for Microorganism Classification by Mass Spectrometry

Havlı́ček

Lemr

2011

ACS Symposium Series

Self Cite

View full text Add to dashboard Cite

Section: Low-molecular Weight Fungal Molecules Used In Vitro and In Vivomentioning

confidence: 99%

“…In other words, if there is a nonribosomal cyclic peptide marker found in a human/animal sample (tissue, blood, urine, etc. ), it should serve as an indicator of a fungal, or possibly bacterial, infection of the particular host (30).…”

Section: Low-molecular Weight Fungal Molecules Used In Vitro and In Vivomentioning

confidence: 99%

Fungal Metabolites for Microorganism Classification by Mass Spectrometry

Havlı́ček

Lemr

2011

ACS Symposium Series

Self Cite

View full text Add to dashboard Cite

CYCLONE—A Utility for De Novo Sequencing of Microbial Cyclic Peptides

Kavan

Kuzma²,

Lemr

et al. 2013

J. Am. Soc. Mass Spectrom.

View full text Add to dashboard Cite

We have developed a de novo sequencing software tool (CYCLONE) and applied it for determination of cyclic peptides. The program uses a non-redundant database of 312 nonribosomal building blocks identified to date in bacteria and fungi (more than 230 additional residues in the database list were isobaric). The software was used to fully characterize the tandem mass spectrum of several cyclic peptides and provide sequence tags. The general strategy of the script was based on fragment ion pre-characterization to accomplish unambiguous b-ion series assignments. Showcase examples were a cyclic tetradepsipeptide beauverolide, a cyclic hexadepsipeptide roseotoxin A, a lasso-like hexapeptide pseudacyclin A, and a cyclic undecapeptide cyclosporin A. The extent of ion scrambling in smaller peptides was as low as 5 % of total ion current; this demonstrated the feasibility of CYCLONE de novo sequencing. The robustness of the script was also tested against database sets of various sizes and isotope-containing data. It can be downloaded from the http://ms.biomed.cas.cz/MSTools/ website. ᅟ

show abstract

Application of Fungal Cyclic Peptides and Metabolites

Cited by 2 publications

References 164 publications

Fungal Metabolites for Microorganism Classification by Mass Spectrometry

Fungal Metabolites for Microorganism Classification by Mass Spectrometry

CYCLONE—A Utility for De Novo Sequencing of Microbial Cyclic Peptides

Contact Info

Product

Resources

About