5djy Citations

Computationally Designed Bispecific Antibodies using Negative State Repertoires.

Abstract

A challenge in the structure-based design of specificity is modeling the negative states, i.e., the complexes that you do not want to form. This is a difficult problem because mutations predicted to destabilize the negative state might be accommodated by small conformational rearrangements. To overcome this challenge, we employ an iterative strategy that cycles between sequence design and protein docking in order to build up an ensemble of alternative negative state conformations for use in specificity prediction. We have applied our technique to the design of heterodimeric CH3 interfaces in the Fc region of antibodies. Combining computationally and rationally designed mutations produced unique designs with heterodimer purities greater than 90%. Asymmetric Fc crystallization was able to resolve the interface mutations; the heterodimer structures confirmed that the interfaces formed as designed. With these CH3 mutations, and those made at the heavy-/light-chain interface, we demonstrate one-step synthesis of four fully IgG-bispecific antibodies.

Articles - 5djy mentioned but not cited (2)

  1. Computationally Designed Bispecific Antibodies using Negative State Repertoires. Leaver-Fay A, Froning KJ, Atwell S, Aldaz H, Pustilnik A, Lu F, Huang F, Yuan R, Hassanali S, Chamberlain AK, Fitchett JR, Demarest SJ, Kuhlman B. Structure 24 641-651 (2016)
  2. Bispecific antibodies-effects of point mutations on CH3-CH3 interface stability. Pomarici ND, Fernández-Quintero ML, Quoika PK, Waibl F, Bujotzek A, Georges G, Liedl KR. Protein Eng Des Sel 35 gzac012 (2022)


Reviews citing this publication (15)

  1. The making of bispecific antibodies. Brinkmann U, Kontermann RE. MAbs 9 182-212 (2017)
  2. Advances in protein structure prediction and design. Kuhlman B, Bradley P. Nat Rev Mol Cell Biol 20 681-697 (2019)
  3. Bispecific T-Cell Redirection versus Chimeric Antigen Receptor (CAR)-T Cells as Approaches to Kill Cancer Cells. Strohl WR, Naso M. Antibodies (Basel) 8 E41 (2019)
  4. Fc Engineering for Developing Therapeutic Bispecific Antibodies and Novel Scaffolds. Liu H, Saxena A, Sidhu SS, Wu D. Front Immunol 8 38 (2017)
  5. Expanding the Boundaries of Biotherapeutics with Bispecific Antibodies. Husain B, Ellerman D. BioDrugs 32 441-464 (2018)
  6. Immunoglobulin Fc Heterodimer Platform Technology: From Design to Applications in Therapeutic Antibodies and Proteins. Ha JH, Kim JE, Kim YS. Front Immunol 7 394 (2016)
  7. Engineering IgG-Like Bispecific Antibodies-An Overview. Krah S, Kolmar H, Becker S, Zielonka S. Antibodies (Basel) 7 E28 (2018)
  8. Protein-protein interaction prediction with deep learning: A comprehensive review. Soleymani F, Paquet E, Viktor H, Michalowski W, Spinello D. Comput Struct Biotechnol J 20 5316-5341 (2022)
  9. Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design. Schoeder CT, Schmitz S, Adolf-Bryfogle J, Sevy AM, Finn JA, Sauer MF, Bozhanova NG, Mueller BK, Sangha AK, Bonet J, Sheehan JH, Kuenze G, Marlow B, Smith ST, Woods H, Bender BJ, Martina CE, Del Alamo D, Kodali P, Gulsevin A, Schief WR, Correia BE, Crowe JE, Meiler J, Moretti R. Biochemistry 60 825-846 (2021)
  10. Recent Advances in the Molecular Design and Applications of Multispecific Biotherapeutics. Zhong X, D'Antona AM. Antibodies (Basel) 10 13 (2021)
  11. Designing protein structures and complexes with the molecular modeling program Rosetta. Kuhlman B. J Biol Chem 294 19436-19443 (2019)
  12. Computational design and experimental optimization of protein binders with prospects for biomedical applications. Bonadio A, Shifman JM. Protein Eng Des Sel 34 gzab020 (2021)
  13. Design and engineering of bispecific antibodies: insights and practical considerations. Madsen AV, Pedersen LE, Kristensen P, Goletz S. Front Bioeng Biotechnol 12 1352014 (2024)
  14. Developability considerations for bispecific and multispecific antibodies. Amash A, Volkers G, Farber P, Griffin D, Davison KS, Goodman A, Tonikian R, Yamniuk A, Barnhart B, Jacobs T. MAbs 16 2394229 (2024)
  15. Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody-Antigen Interactions. Kim DN, McNaughton AD, Kumar N. Bioengineering (Basel) 11 185 (2024)

Articles citing this publication (26)