Literature DB >> 34725391

Redesigning an antibody H3 loop by virtual screening of a small library of human germline-derived sequences.

Christopher R Corbeil1, Mahder Seifu Manenda2, Traian Sulea1, Jason Baardsnes1, Marie-Ève Picard2, Hervé Hogues1, Francis Gaudreault1, Christophe Deprez1, Rong Shi2, Enrico O Purisima3,4.   

Abstract

The design of superior biologic therapeutics, including antibodies and engineered proteins, involves optimizing their specific ability to bind to disease-related molecular targets. Previously, we developed and applied the Assisted Design of Antibody and Protein Therapeutics (ADAPT) platform for virtual affinity maturation of antibodies (Vivcharuk et al. in PLoS One 12(7):e0181490, https://doi.org/10.1371/journal.pone.0181490 , 2017). However, ADAPT is limited to point mutations of hot-spot residues in existing CDR loops. In this study, we explore the possibility of wholesale replacement of the entire H3 loop with no restriction to maintain the parental loop length. This complements other currently published studies that sample replacements for the CDR loops L1, L2, L3, H1 and H2. Given the immense sequence space theoretically available to H3, we focused on the virtual grafting of over 5000 human germline-derived H3 sequences from the IGMT/LIGM database increasing the diversity of the sequence space when compared to using crystalized H3 loop sequences. H3 loop conformations are generated and scored to identify optimized H3 sequences. Experimental testing of high-ranking H3 sequences grafted into the framework of the bH1 antibody against human VEGF-A led to the discovery of multiple hits, some of which had similar or better affinities relative to the parental antibody. In over 75% of the tested designs, the re-designed H3 loop contributed favorably to overall binding affinity. The hits also demonstrated good developability attributes such as high thermal stability and no aggregation. Crystal structures of select re-designed H3 variants were solved and indicated that although some deviations from predicted structures were seen in the more solvent accessible regions of the H3 loop, they did not significantly affect predicted affinity scores.
© 2021. The Author(s).

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Year:  2021        PMID: 34725391      PMCID: PMC8560851          DOI: 10.1038/s41598-021-00669-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  45 in total

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Journal:  Biotechnol Adv       Date:  2010-07-23       Impact factor: 14.227

3.  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

Review 4.  Humanization of antibodies.

Authors:  Juan C Almagro; Johan Fransson
Journal:  Front Biosci       Date:  2008-01-01

Review 5.  Phage display antibody libraries: A robust approach for generation of recombinant human monoclonal antibodies.

Authors:  Rajesh Kumar; Hilal Ahmed Parray; Tripti Shrivastava; Subrata Sinha; Kalpana Luthra
Journal:  Int J Biol Macromol       Date:  2019-06-03       Impact factor: 6.953

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Journal:  Immunol Today       Date:  2000-08

Review 7.  Engineering antibody therapeutics.

Authors:  Mark L Chiu; Gary L Gilliland
Journal:  Curr Opin Struct Biol       Date:  2016-08-12       Impact factor: 6.809

8.  Humanization and molecular modeling of the anti-CD4 monoclonal antibody, OKT4A.

Authors:  V L Pulito; V A Roberts; J R Adair; A L Rothermel; A M Collins; S S Varga; C Martocello; M Bodmer; L K Jolliffe; R A Zivin
Journal:  J Immunol       Date:  1996-04-15       Impact factor: 5.422

Review 9.  Yeast surface display for protein engineering and characterization.

Authors:  S Annie Gai; K Dane Wittrup
Journal:  Curr Opin Struct Biol       Date:  2007-09-17       Impact factor: 6.809

10.  Tabhu: tools for antibody humanization.

Authors:  Pier Paolo Olimpieri; Paolo Marcatili; Anna Tramontano
Journal:  Bioinformatics       Date:  2014-10-09       Impact factor: 6.937

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  1 in total

1.  Unexpected Dynamic Binding May Rescue the Binding Affinity of Rivaroxaban in a Mutant of Coagulation Factor X.

Authors:  Zhi-Li Zhang; Changming Chen; Si-Ying Qu; Qiulan Ding; Qin Xu
Journal:  Front Mol Biosci       Date:  2022-05-05
  1 in total

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