Literature DB >> 18473362

Structural classification of CDR-H3 revisited: a lesson in antibody modeling.

Daisuke Kuroda1, Hiroki Shirai, Masato Kobori, Haruki Nakamura.   

Abstract

Among the six complementarity-determining regions (CDRs) in the variable domains of an antibody, the third CDR of the heavy chain (CDR-H3), which lies in the center of the antigen-binding site, plays a particularly important role in antigen recognition. CDR-H3 shows significant variability in its length, sequence, and structure. Although difficult, model building of this segment is the most critical step in antibody modeling. Since our first proposal of the "H3-rules," which classify CDR-H3 structure based on amino acid sequence, the number of experimentally determined antibody structures has increased. Here, we revise these H3-rules and propose an improved classification scheme for CDR-H3 structure modeling. In addition, we determine the common features of CDR-H3 in antibody drugs as well as discuss the concept of "antibody druggability," which can be applied as an indicator of antibody evaluation during drug discovery.

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Substances:

Year:  2008        PMID: 18473362     DOI: 10.1002/prot.22087

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  52 in total

1.  The diversity of H3 loops determines the antigen-binding tendencies of antibody CDR loops.

Authors:  Yuko Tsuchiya; Kenji Mizuguchi
Journal:  Protein Sci       Date:  2016-01-20       Impact factor: 6.725

2.  Understanding differences between synthetic and natural antibodies can help improve antibody engineering.

Authors:  Anat Burkovitz; Yanay Ofran
Journal:  MAbs       Date:  2015-12-14       Impact factor: 5.857

3.  A new clustering of antibody CDR loop conformations.

Authors:  Benjamin North; Andreas Lehmann; Roland L Dunbrack
Journal:  J Mol Biol       Date:  2010-10-28       Impact factor: 5.469

4.  Shape complementarity and hydrogen bond preferences in protein-protein interfaces: implications for antibody modeling and protein-protein docking.

Authors:  Daisuke Kuroda; Jeffrey J Gray
Journal:  Bioinformatics       Date:  2016-04-19       Impact factor: 6.937

5.  Accurate Structure Prediction of CDR H3 Loops Enabled by a Novel Structure-Based C-Terminal Constraint.

Authors:  Brian D Weitzner; Jeffrey J Gray
Journal:  J Immunol       Date:  2016-11-21       Impact factor: 5.422

6.  Antibody structure determination using a combination of homology modeling, energy-based refinement, and loop prediction.

Authors:  Kai Zhu; Tyler Day; Dora Warshaviak; Colleen Murrett; Richard Friesner; David Pearlman
Journal:  Proteins       Date:  2014-04-16

7.  Toward a hepatitis C virus vaccine: the structural basis of hepatitis C virus neutralization by AP33, a broadly neutralizing antibody.

Authors:  Jane A Potter; Ania M Owsianka; Nathan Jeffery; David J Matthews; Zhen-Yong Keck; Patrick Lau; Steven K H Foung; Garry L Taylor; Arvind H Patel
Journal:  J Virol       Date:  2012-09-19       Impact factor: 5.103

8.  Defining the complementarities between antibodies and haptens to refine our understanding and aid the prediction of a successful binding interaction.

Authors:  Mohammed M Al Qaraghuli; Soumya Palliyil; Gillian Broadbent; David C Cullen; Keith A Charlton; Andrew J Porter
Journal:  BMC Biotechnol       Date:  2015-10-24       Impact factor: 2.563

9.  Complementary MS methods assist conformational characterization of antibodies with altered S-S bonding networks.

Authors:  Lisa M Jones; Hao Zhang; Weidong Cui; Sandeep Kumar; Justin B Sperry; James A Carroll; Michael L Gross
Journal:  J Am Soc Mass Spectrom       Date:  2013-03-13       Impact factor: 3.109

10.  CDR-H3 diversity is not required for antigen recognition by synthetic antibodies.

Authors:  Helena Persson; Wei Ye; Amy Wernimont; Jarrett J Adams; Akiko Koide; Shohei Koide; Robert Lam; Sachdev S Sidhu
Journal:  J Mol Biol       Date:  2012-12-03       Impact factor: 5.469

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