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Computational Protein Design: Methods in Molecular Biology, cartea 1529

Editat de Ilan Samish
en Limba Engleză Paperback – 28 iun 2018
The aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.
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Specificații

ISBN-13: 9781493982561
ISBN-10: 1493982567
Pagini: 450
Ilustrații: XII, 450 p. 144 illus., 111 illus. in color.
Dimensiuni: 178 x 254 mm
Greutate: 0.8 kg
Ediția:Softcover reprint of the original 1st ed. 2017
Editura: Springer
Colecția Humana
Seria Methods in Molecular Biology

Locul publicării:New York, NY, United States

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Textul de pe ultima copertă

The aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.

Caracteristici

Includes cutting-edge methods and protocols Provides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the experts Includes supplementary material: sn.pub/extras