Amino acids, peptides and proteins
Author(s)
Bibliographic Information
Amino acids, peptides and proteins
(A Specialist periodical report)
Royal Society of Chemistry, 2021
- v. 44
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Description based on CIP data; resource not viewed
Includes bibliographical references & index
Description and Table of Contents
Description
Amino Acids, Peptides and Proteins is a broad ranging title comprising comprehensive and critical reviews of significant developments at the biology and chemistry interface. Compiled by leading researchers in their subject, this volume incorporates current trends and emerging areas in topics ranging from enzymatic halogenation, unnatural amino acids in peptide and protein chemistry and detection of protein post-translational modifications by mass spectrometry. Appealing broadly to researchers in academia and industry, it will be of great benefit to any researcher wanting a succinct reference in this field and looking at the future.
Table of Contents
- Enzymatic Halogenation: Enzyme Mining, Mechanisms, and Implementation in Reaction Cascades
- Non-Canonical (unusual) Amino Acids as a toolbox for Antimicrobial and Anticancer Peptide Synthesis
- Intrinsic Structural Disorder of Proteins: from Prediction to Experimental Identification
- Membrane Disrupting Peptides: Mechanistic Elucidation of Antimicrobial Activity
- Detection of Protein Posttranslational Modifications by Mass Spectrometry
by "Nielsen BookData"