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Computational Protein Design [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  1493982567
  • ISBN-10:  1493982567
  • ISBN-13:  9781493982561
  • ISBN-13:  9781493982561
  • Publisher:  Humana
  • Publisher:  Humana
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2018
  • Pub Date:  01-Apr-2018
  • SKU:  1493982567-11-SPRI
  • SKU:  1493982567-11-SPRI
  • Pages:  450
  • Pages:  450
  • Item ID: 101356890
  • List Price: $129.99
  • Seller: ShopSpell
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  • Delivery by: Oct 16 to Oct 18
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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.


 

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.

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
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