This volume details state-of-the- art methods on computer-aided antibody design. Chapters guide readers through information on antibody sequences and structures, modeling antibody structures and dynamics, prediction and optimization of biological and biophysical properties of antibodies, prediction of antibody-antigen interactions, and computer-aided antibody affinity maturation and beyond. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.
Authoritative and cutting-edge, Computer-Aided Antibody Design aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.
Chapter 2 is available open access under a Creative Commons Attribution 4.0 InternationalLicense via link.springer.com.
Edited by:
Kouhei Tsumoto, Daisuke Kuroda Imprint: Springer-Verlag New York Inc. Country of Publication: United States Edition: 2023 ed. Volume: 2552 Dimensions:
Height: 254mm,
Width: 178mm,
Weight: 957g ISBN:9781071626115 ISBN 10: 1071626116 Series:Methods in Molecular Biology Pages: 491 Publication Date:10 November 2023 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active