E-grāmata: Protein Design

For biochemists and other scientists who find themselves facing problems that off-the-shelf proteins cannot address, specialists in rational protein design explain current design and engineering strategies for creating new ones. Within sections on designing structural elementary motifs, entire proteins and protein complexes, and amyloidogenic polypeptides and amyloid inhibitors, they discuss such issues as improving the binding of a peptide to the target protein, and avoiding aggregation while retaining fold and stability. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

Protein Design: Methods and Applications presents the most up-to-date protein design and engineering strategies so that readers can undertake their own projects with a maximum chance of success. The authors present integrated computational approaches that require various degrees of computational complexity, and the major accomplishments that have been achieved in the design and structural characterization of helical peptides and proteins.

Recent major advances in our understanding of modulating protein functions has led to the development of new methods and algorithms to predict and decipher how amino acid sequences shape three-dimensional structures. Protein Design: Methods and Applications presents the most up-to-date protein design and engineering strategies so that readers can undertake their own projects with a maximum chance of success. The authors present integrated computational approaches that require various degrees of computational complexity, and the major accomplishments that have been achieved in the design and structural characterization of helical peptides and proteins. Other topics of discussion include: design of structural elementary motifs, entire proteins, and interfaces of protein complexes, and of amyloidogenic polypeptides and amyloid inhibitors. Authoritative and cutting-edge, Protein Design: Methods and Applications will be of major interest to protein scientists, biochemists, and all experimentalists selecting the strategy most adaptable for their design problem.