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020 _a9781071626092
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024 7 _a10.1007/978-1-0716-2609-2
_2doi
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072 7 _aMED044000
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245 1 0 _aComputer-Aided Antibody Design
_h[electronic resource] /
_cedited by Kouhei Tsumoto, Daisuke Kuroda.
250 _a1st ed. 2023.
264 1 _aNew York, NY :
_bSpringer US :
_bImprint: Humana,
_c2023.
300 _aXIV, 491 p. 139 illus., 118 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
341 0 _bTable of contents navigation
_2onix
341 0 _bSingle logical reading order
_2onix
341 0 _bShort alternative textual descriptions
_2onix
341 0 _bUse of color is not sole means of conveying information
_2onix
341 0 _bUse of high contrast between text and background color
_2onix
341 0 _bNext / Previous structural navigation
_2onix
341 0 _bAll non-decorative content supports reading without sight
_2onix
347 _atext file
_bPDF
_2rda
490 1 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2552
505 0 _aAntibody sequence and structure analyses using IMGT®: 30 years of immunoinformatics -- Structural Classification of CDR-H3 in Single-Domain VHH Antibodies -- Computational modelling of Antibody and T Cell receptor (CDR3 loops) -- Molecular dynamics simulation for investigating antigen-antibody interaction -- Molecular Dynamics Methods for Antibody Design -- Probing antibody dynamics with geometric simulations -- PITHA: a webtool to predict immunogenicity for humanized and fully human therapeutic antibodies -- Thermal Stability Estimation of Single Domain Antibodies Using Molecular Dynamics Simulations -- Assessing and engineering antibody stability using experimental and computational methods -- In Silico Prediction Method for Protein Asparagine Deamidation -- Structure-based Optimization of Antibody-Based Biotherapeutics for Improved Developability: A Practical Guide for Molecular Modelers -- B-cell epitope predictions using computational methods -- Computational Epitope Prediction and Design for Antibody Development and Detection -- Information-driven antibody-antigen modelling with HADDOCK -- Structural modeling of adaptive immune responses to infection -- Protein-Protein Interaction Modelling with the Fragment Molecular Orbital Method -- Structural Considerations in Affinity Maturation of Antibody-Based Biotherapeutic Candidates -- Structure-based affinity maturation of antibody based on double-point mutations -- Antibody affinity maturation using computational methods: from an initial hit to small scale expression of optimised binders -- Optimizing Antibody-Antigen Binding Affinities with the ADAPT Platform -- Using graph-based signatures to guide rational antibody engineering -- A computational framework for determining the breadth of antibodies against highly mutable pathogens -- Analytical method for experimental validation of computer-designed antibody -- Computational analysis of antibody paratopes for antibody sequences in antibody libraries -- Bioinformatic Analysis of Natively Paired VH:VL Antibody Repertoires for Antibody Discovery -- Analyzing antibody repertoire using next-generation sequencing and machine learning -- A computational pipeline for predicting cancer neoepitopes. .
520 _aThis 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 International License via link.springer.com.
532 8 _aAccessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
532 8 _aNo reading system accessibility options actively disabled
532 8 _aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0 _aImmunology.
650 0 _aBioinformatics.
650 0 _aPharmaceutical chemistry.
650 1 4 _aImmunology.
650 2 4 _aBioinformatics.
650 2 4 _aPharmaceutics.
700 1 _aTsumoto, Kouhei.
_eeditor.
_0(orcid)0000-0001-7643-5164
_1https://orcid.org/0000-0001-7643-5164
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKuroda, Daisuke.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781071626085
776 0 8 _iPrinted edition:
_z9781071626108
776 0 8 _iPrinted edition:
_z9781071626115
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2552
856 4 0 _uhttps://doi.org/10.1007/978-1-0716-2609-2
912 _aZDB-2-PRO
999 _c5458
_d5458