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Produktbild: Antimicrobial Peptides
Band 663

Antimicrobial Peptides

Aus der Reihe Methods in Enzymology

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Beschreibung

Antimicrobial Peptides, Volume 663 in the Methods in Enzymology series, highlights new advances in the field, with this new volume presenting interesting chapters on Unifying the classification of antimicrobial peptides in the Antimicrobial Peptide Database, Optimizing peptide library creation for PepSAVI-MS...

Beschreibung

Antimicrobial Peptides, Volume 663 in the Methods in Enzymology series, highlights new advances in the field, with this new volume presenting interesting chapters on Unifying the classification of antimicrobial peptides in the Antimicrobial Peptide Database, Optimizing peptide library creation for PepSAVI-MS (RP libraries, etc.), Discovery of novel Antimicrobial peptides using BioProspecting, Screening for cysteine-stabilized scaffolds for developing protelytic-resistant AMPs, Exploring synergy and its role in antimicrobial peptide biology, Colorimetric assays for the rapid and high-throughput screening of antimicrobial peptide activity against diverse bacterial pathogens, and much more.

Other chapters cover Liquid chromatography-mass spectrometry-based analysis of naturally occurring neuropeptide diastereomers, Multiplexed Quantitative Neuropeptidomics via DiLeu Isobaric Tagging, In vitro evaluation of antibiotic resistance via proteomics, Molecular networking-based strategies in mass spectrometry, Development of Macrocyclic antimicrobial peptides and peptoids, and a host of other timely topics.

Portrait

Dr. Hicks received her B.S. in Chemistry at Marshall University, summa cum laude, and Ph.D. in Analytical Chemistry at the University of Illinois, Urbana-Champaign where she was the recipient of an NSF Graduate Research Fellowship. She was an Assistant Member and Principal Investigator at the Donald Danforth Plant Science Center and an adjunct professor in the Department of Biology at Washington University in St. Louis prior to assuming her current role as a professor in the Department of Chemistry at UNC.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.03.2022

Herausgeber Leslie Hicks
Verlag Elsevier Science & Technology

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.03.2022

Herausgeber Leslie Hicks
Verlag Elsevier Science & Technology
Seitenzahl

390

Maße (L/B/H)

22,9/15,2/2,2 cm

Gewicht

690 g

Sprache

Englisch

ISBN

978-0-323-90158-1

EU-Ansprechpartner

Elsevier B.V.
Radarweg 29
1043 NX Amsterdam
NL
productsafety@elsevier.com

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Antimicrobial Peptides
  • 1. Unifying the classification of antimicrobial peptides in the Antimicrobial Peptide Database
    2. Protocols for measuring the stability and cytotoxicity of cyclotides
    3. Optimizing peptide library creation for PepSAVI-MS (RP libraries, etc)
    4. Screening for cysteine-stabilized scaffolds for developing protelytic-resistant AMPs
    5. Exploring synergy and its role in antimicrobial peptide biology
    6. Colorimetric assays for the rapid and high-throughput screening of antimicrobial peptide activity against diverse bacterial pathogens
    7. In silico prediction and mass spectrometric characterization of botanical antimicrobial peptides
    8. Combined Thermal and Carboxypeptidase Y Stability Assays for Proving the Threaded Fold of Lasso Peptides
    9. Evaluation of endogenous peptide stereochemistry using liquid chromatography-mass spectrometry-based spiking experiments
    10. Multiplexed Quantitative Neuropeptidomics via DiLeu Isobaric Tagging
    11. In vitro evaluation of antibiotic resistance via proteomics
    12. Molecular Networking-based Strategies in Mass Spectrometry Coupled with in silico Dereplication of Peptidic Natural Products and Gene Cluster Analysis
    13. Methods for the design and characterization of peptide antibiotics
    14. Quick synthesis of novel antimicrobial peptoids with ¿- and ß-chiral side chains
    15. Molecular networking in infectious disease models