Computational Approaches for Studying Enzyme Mechanism Part A (ePub)

Name: Computational Approaches for Studying Enzyme Mechanism Part A
Brand: Elsevier Science & Techn.
SKU: 78839761
Price: 142.00 EUR
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(Sprache: Englisch)

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Computational Approaches for Studying Enzyme Mechanism Part A, is the first of two volumes in the Methods in Enzymology series, focusses on computational approaches for studying enzyme mechanism.

The serial achieves the critically acclaimed gold...

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Computational Approaches for Studying Enzyme Mechanism Part A, is the first of two volumes in the Methods in Enzymology series, focusses on computational approaches for studying enzyme mechanism.

The serial achieves the critically acclaimed gold standard of laboratory practices and remains one of the most highly respected publications in the molecular biosciences.

Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 550 volumes, the series remains a prominent and essential publication for researchers in all fields of life sciences and biotechnology, including biochemistry, chemical biology, microbiology, synthetic biology, cancer research, and genetics to name a few.

Focuses on computational approaches for studying enzyme mechanism
Continues the legacy of this premier serial with quality chapters authored by leaders in the field
Covers research methods in intermediate filament associated proteins, and contains sections on such topics as lamin-associated proteins, intermediate filament-associated proteins and plakin, and other cytoskeletal cross-linkers

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Bibliographische Angaben

2016, 558 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128053631
ISBN-13: 9780128053638
Erscheinungsdatum: 04.08.2016

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Dateiformat: ePub
Größe: 27 MB
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Englisch

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Praise for the Series:
"Should be on the shelves of all libraries in the world as a whole collection." --Chemistry in Industry
"The work most often consulted in the lab." --Enzymologia
“The Methods in Enzymology series represents the gold-standard." --Neuroscience

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