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Homology Modeling - Methods and Protocols (Hardcover, 1st ed. 2023) Loot Price: R6,454
Discovery Miles 64 540
Homology Modeling - Methods and Protocols (Hardcover, 1st ed. 2023): Sławomir Filipek

Homology Modeling - Methods and Protocols (Hardcover, 1st ed. 2023)

Sławomir Filipek

Series: Methods in Molecular Biology, 2627

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Loot Price R6,454 Discovery Miles 64 540 | Repayment Terms: R605 pm x 12*

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This detailed volume provides state-of-the-art methodologies and reviews of important topics in the field of homology modeling. From homology modeling in the twilight zone and improving accuracy through sequence space analysis to approaches to construct multi-protein complex models, the book explores a wide variety of uses and applications of this valuable technique. Written for the highly successful Methods in Molecular Biology series, the chapters include introductions to their respective topics, lists of the necessary programs, webservers, and databases, step-by-step and readily reproducible protocols, as well as tips on troubleshooting and avoiding known pitfalls.  Authoritative and practical, Homology Modeling: Methods and Protocols serves as an ideal guide to recent homology modeling procedures, assumptions made, and model quality assessment that will illuminate the black box of homology modeling for novice readers and broaden the knowledge of this methodology for professionals.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Methods in Molecular Biology, 2627
Release date: March 2023
First published: 2023
Editors: Sławomir Filipek
Dimensions: 254 x 178mm (L x W)
Format: Hardcover
Pages: 376
Edition: 1st ed. 2023
ISBN-13: 978-1-07-162973-4
Categories: Books > Science & Mathematics > Chemistry > General
Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Professional & Technical > Biochemical engineering > Biotechnology > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
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LSN: 1-07-162973-5
Barcode: 9781071629734

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