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Yeast Surface Display [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  1071622870
  • ISBN-10:  1071622870
  • ISBN-13:  9781071622872
  • ISBN-13:  9781071622872
  • Publisher:  Humana
  • Publisher:  Humana
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2023
  • Pub Date:  01-May-2023
  • SKU:  1071622870-11-SPRI
  • SKU:  1071622870-11-SPRI
  • Pages:  646
  • Pages:  646
  • Item ID: 105125000
  • List Price: $219.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 11 to Oct 13
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
This detailed volume explores a wide variety of applications of yeast surface display, an extensively used protein engineering technology. Beginning with detailed protocols for the construction and efficient selection/screening of yeast surface display libraries, as well as for the analysis of individual yeast-displayed protein variants, the book continues with protocols describing the selection of yeast surface display libraries for binding to mammalian cells or to extracellular matrix as well as protocols for a broad spectrum of specialized yeast surface display applications, demonstrating the versatility of this display platform. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible methodologies, and tips on troubleshooting and avoiding known pitfalls. 

Authoritative and practical, Yeast Surface Display serves as a comprehensive resource that enables the implementation of this powerful and versatile technique in virtually any molecular biology laboratory, even in the absence of any prior yeast surface display experience.

Yeast Surface Display:  New Opportunities for a Time-Tested Protein Engineering System.- Yeast Surface Display for Protein Engineering: Library Generation, Screening, and Affinity Maturation.- Site-Wise Diversification of Combinatorial Libraries Using Insights from Structure-Guided Stability Calculations.- Ancestral Sequence Reconstruction and Alternate Amino Acid States Guide Protein Library Design for Directed Evolution.- Machine Learning-Driven Protein Library Design: A Path Toward Smarter Libraries.- Kinetic Competition Screening of Yeast-Displayed Libraries for the Generation of High Affinity Binders.- Engineering Proteins by Combining Deep Mutational Scanning and Yeasló¶

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