Literature DB >> 9642095

Automated classification of antibody complementarity determining region 3 of the heavy chain (H3) loops into canonical forms and its application to protein structure prediction.

B Oliva1, P A Bates, E Querol, F X Avilés, M J Sternberg.   

Abstract

A computer-based algorithm was used to cluster the loops forming the complementarity determining region (CDR) 3 of the heavy chain (H3) into canonical classes. Previous analyses of the three-dimensional structures of CDR loops (also known as the hypervariable regions) within antibody immunoglobulin variable domains have shown that for five of the six CDRs there are only a few main-chain conformations (known as canonical forms) that show clear relationships between sequence and structure. However, the larger variation in length and conformation of loops within H3 has limited the classification of these loops into canonical forms. The clustering procedure presented here is based on aligning the Ramachandran-coded main-chain conformation of the residues using a dynamic algorithm that allows the insertion of gaps to obtain an optimum alignment. A total of 41 H3 loops out of 62 non-identical loops, extracted from the Brookhaven Protein Data Bank, have been automatically grouped into 22 clusters. Inspection of the clusters for consensus sequences or intra-loop interactions or invariant conformation led to the proposal of 13 canonical forms representing 31 loops. These canonical forms include a consideration of the geometry of both the take-off region adjacent to the bracing beta-strands and the remaining loop apex. Subsequently a new set of 15 H3 loops not included in the initial analysis was considered. The clustering procedure was repeated and nine of these 15 loops could be assigned to original clusters, including seven to canonical forms. A sequence profile was generated for each canonical form from the original set of loops and matched against the sequences of the new H3 loops. For five out of the seven new H3 loops that were in a canonical form, the correct form was identified at first rank by this predictive scheme. Copyright 1998 Academic Press.

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Year:  1998        PMID: 9642095     DOI: 10.1006/jmbi.1998.1847

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  26 in total

1.  Refinement of modelled structures by knowledge-based energy profiles and secondary structure prediction: application to the human procarboxypeptidase A2.

Authors:  P Aloy; J M Mas; M A Martí-Renom; E Querol; F X Avilés; B Oliva
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  ArchDB: automated protein loop classification as a tool for structural genomics.

Authors:  Jordi Espadaler; Narcis Fernandez-Fuentes; Antonio Hermoso; Enrique Querol; Francesc X Aviles; Michael J E Sternberg; Baldomero Oliva
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

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.  Large-scale conformational dynamics of the HIV-1 integrase core domain and its catalytic loop mutants.

Authors:  Matthew C Lee; Jinxia Deng; James M Briggs; Yong Duan
Journal:  Biophys J       Date:  2005-02-24       Impact factor: 4.033

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

Authors:  Paolo Marcatili; Pier Paolo Olimpieri; Anna Chailyan; Anna Tramontano
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Authors:  Kai Zhu; Tyler Day; Dora Warshaviak; Colleen Murrett; Richard Friesner; David Pearlman
Journal:  Proteins       Date:  2014-04-16

7.  Crystal structure of the anti-(carcinoembryonic antigen) single-chain Fv antibody MFE-23 and a model for antigen binding based on intermolecular contacts.

Authors:  M K Boehm; A L Corper; T Wan; M K Sohi; B J Sutton; J D Thornton; P A Keep; K A Chester; R H Begent; S J Perkins
Journal:  Biochem J       Date:  2000-03-01       Impact factor: 3.857

8.  The anti-non-gal xenoantibody response to xenoantigens on gal knockout pig cells is encoded by a restricted number of germline progenitors.

Authors:  K Kiernan; I Harnden; M Gunthart; C Gregory; J Meisner; M Kearns-Jonker
Journal:  Am J Transplant       Date:  2008-07-28       Impact factor: 8.086

9.  Role of Non-local Interactions between CDR Loops in Binding Affinity of MR78 Antibody to Marburg Virus Glycoprotein.

Authors:  Amandeep K Sangha; Jinhui Dong; Lauren Williamson; Takao Hashiguchi; Erica Ollmann Saphire; James E Crowe; Jens Meiler
Journal:  Structure       Date:  2017-11-16       Impact factor: 5.006

10.  Including Functional Annotations and Extending the Collection of Structural Classifications of Protein Loops (ArchDB).

Authors:  Antoni Hermoso; Jordi Espadaler; E Enrique Querol; Francesc X Aviles; Michael J E Sternberg; Baldomero Oliva; Narcis Fernandez-Fuentes
Journal:  Bioinform Biol Insights       Date:  2009-11-24
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