Literature DB >> 23708320

ABangle: characterising the VH-VL orientation in antibodies.

J Dunbar1, A Fuchs, J Shi, C M Deane.   

Abstract

The binding site of an antibody is formed between the two variable domains, VH and VL, of its antigen binding fragment (Fab). Understanding how VH and VL orientate with respect to one another is important both for studying the mechanisms of antigen specificity and affinity and improving antibody modelling, docking and engineering. Different VH-VL orientations are commonly described using relative measures such as root-mean-square deviation. Recently, the orientation has also been characterised using the absolute measure of a VH-VL packing angle. However, a single angle cannot fully describe all modes of orientation. Here, we present a method which fully characterises VH-VL orientation in a consistent and absolute sense using five angles (HL, HC1, LC1, HC2 and LC2) and a distance (dc). Additionally, we provide a computational tool, ABangle, to allow the VH-VL orientation for any antibody to be automatically calculated and compared with all other known structures. We compare previous studies and show how the modes of orientation being identified relate to movements of different angles. Thus, we are able to explain why different studies identify different structural clusters and different residues as important. Given this result, we then identify those positions and their residue identities which influence each of the angular measures of orientation. Finally, by analysing VH-VL orientation in bound and unbound forms, we find that antibodies specific for protein antigens are significantly more flexible in their unbound form than antibodies specific for hapten antigens. ABangle is freely available at http://opig.stats.ox.ac.uk/webapps/abangle.

Entities:  

Keywords:  antibody modelling; antibody structure; computational tools; domain orientation; protein engineering

Mesh:

Substances:

Year:  2013        PMID: 23708320     DOI: 10.1093/protein/gzt020

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  48 in total

1.  VH-VL orientation prediction for antibody humanization candidate selection: A case study.

Authors:  Alexander Bujotzek; Florian Lipsmeier; Seth F Harris; Jörg Benz; Andreas Kuglstatter; Guy Georges
Journal:  MAbs       Date:  2016       Impact factor: 5.857

2.  Antibody humanization by structure-based computational protein design.

Authors:  Yoonjoo Choi; Casey Hua; Charles L Sentman; Margaret E Ackerman; Chris Bailey-Kellogg
Journal:  MAbs       Date:  2015-08-07       Impact factor: 5.857

3.  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

4.  Antibody modeling using the prediction of immunoglobulin structure (PIGS) web server [corrected].

Authors:  Paolo Marcatili; Pier Paolo Olimpieri; Anna Chailyan; Anna Tramontano
Journal:  Nat Protoc       Date:  2014-11-06       Impact factor: 13.491

5.  MoFvAb: Modeling the Fv region of antibodies.

Authors:  Alexander Bujotzek; Angelika Fuchs; Changtao Qu; Jörg Benz; Stefan Klostermann; Iris Antes; Guy Georges
Journal:  MAbs       Date:  2015       Impact factor: 5.857

6.  Considering B7-CD28 as a family through sequence and structure.

Authors:  Sean M West; Xiaodi A Deng
Journal:  Exp Biol Med (Maywood)       Date:  2019-06-17

7.  Mutational landscape of antibody variable domains reveals a switch modulating the interdomain conformational dynamics and antigen binding.

Authors:  Patrick Koenig; Chingwei V Lee; Benjamin T Walters; Vasantharajan Janakiraman; Jeremy Stinson; Thomas W Patapoff; Germaine Fuh
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-05       Impact factor: 11.205

8.  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

9.  Improved prediction of antibody VL-VH orientation.

Authors:  Nicholas A Marze; Sergey Lyskov; Jeffrey J Gray
Journal:  Protein Eng Des Sel       Date:  2016-06-08       Impact factor: 1.650

Review 10.  Biophysical characterization of dynamic structures of immunoglobulin G.

Authors:  Saeko Yanaka; Rina Yogo; Koichi Kato
Journal:  Biophys Rev       Date:  2020-05-15
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