Literature DB >> 29154550

Biophysical and Sequence-Based Methods for Identifying Monovalent and Bivalent Antibodies with High Colloidal Stability.

Magfur E Alam1, Steven B Geng1, Christian Bender2, Seth D Ludwig1, Lars Linden3, Rene Hoet2, Peter M Tessier1,4.   

Abstract

In vitro antibody discovery and/or affinity maturation are often performed using antibody fragments (Fabs), but most monovalent Fabs are reformatted as bivalent IgGs (monoclonal antibodies, mAbs) for therapeutic applications. One problem related to reformatting antibodies is that the bivalency of mAbs can lead to increased antibody self-association and poor biophysical properties (e.g., reduced antibody solubility and increased viscosity). Therefore, it is important to identify monovalent Fabs early in the discovery and/or optimization process that will display favorable biophysical properties when reformatted as bivalent mAbs. Here we demonstrate a facile approach for evaluating Fab self-association in a multivalent assay format that is capable of identifying antibodies with low self-association and favorable colloidal properties when reformatted as bivalent mAbs. Our approach (self-interaction nanoparticle spectroscopy, SINS) involves immobilizing Fabs on gold nanoparticles in a multivalent format (multiple Fabs per nanoparticle) and evaluating their self-association behavior via shifts in the plasmon wavelength or changes in the absorbance values. Importantly, we find that SINS measurements of Fab self-association are correlated with self-interaction measurements of bivalent mAbs and are useful for identifying antibodies with favorable biophysical properties. Moreover, the significant differences in the levels of self-association detected for Fabs and mAbs with similar frameworks can be largely explained by the physicochemical properties of the complementarity-determining regions (CDRs). Comparison of the properties of the CDRs in this study relative to those of approved therapeutic antibodies reveals several key factors (net charge, fraction of charged residues, and presence of self-interaction motifs) that strongly influence antibody self-association behavior. Increased positive charge in the CDRs was observed to correlate with increased risk of high self-association for the mAbs in this study and clinical-stage antibodies. We expect that these findings will be useful for improving the development of therapeutic antibodies that are well suited for high concentration applications.

Entities:  

Keywords:  AC-SINS; developability; formulation; mAb; solubility; viscosity

Mesh:

Substances:

Year:  2017        PMID: 29154550     DOI: 10.1021/acs.molpharmaceut.7b00779

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  11 in total

1.  Physicochemical Rules for Identifying Monoclonal Antibodies with Drug-like Specificity.

Authors:  Yulei Zhang; Lina Wu; Priyanka Gupta; Alec A Desai; Matthew D Smith; Lilia A Rabia; Seth D Ludwig; Peter M Tessier
Journal:  Mol Pharm       Date:  2020-06-11       Impact factor: 4.939

Review 2.  Selecting and engineering monoclonal antibodies with drug-like specificity.

Authors:  Charles G Starr; Peter M Tessier
Journal:  Curr Opin Biotechnol       Date:  2019-02-26       Impact factor: 9.740

3.  Assessment of Therapeutic Antibody Developability by Combinations of In Vitro and In Silico Methods.

Authors:  Adriana-Michelle Wolf Pérez; Nikolai Lorenzen; Michele Vendruscolo; Pietro Sormanni
Journal:  Methods Mol Biol       Date:  2022

4.  Nature-inspired design and evolution of anti-amyloid antibodies.

Authors:  Mark C Julian; Lilia A Rabia; Alec A Desai; Ammar Arsiwala; Julia E Gerson; Henry L Paulson; Ravi S Kane; Peter M Tessier
Journal:  J Biol Chem       Date:  2019-03-27       Impact factor: 5.486

5.  Antibodies with Weakly Basic Isoelectric Points Minimize Trade-offs between Formulation and Physiological Colloidal Properties.

Authors:  Priyanka Gupta; Emily K Makowski; Sandeep Kumar; Yulei Zhang; Justin M Scheer; Peter M Tessier
Journal:  Mol Pharm       Date:  2022-02-02       Impact factor: 5.364

6.  Isolation of monoclonal antibodies from anti-synthetase syndrome patients and affinity maturation by recombination of independent somatic variants.

Authors:  Luke Burman; Yeeting E Chong; Sherie Duncan; Anders Klaus; Kaitlyn Rauch; Kristina Hamel; Karine Hervé; Stephanie Pfaffen; David W Collins; Kevin Heyries; Leslie Nangle; Carl Hansen; David J King
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

7.  Drug-like antibodies with high affinity, diversity and developability directly from next-generation antibody libraries.

Authors:  Andre Azevedo Reis Teixeira; Michael Frank Erasmus; Sara D'Angelo; Leslie Naranjo; Fortunato Ferrara; Camila Leal-Lopes; Oliver Durrant; Cecile Galmiche; Aleardo Morelli; Anthony Scott-Tucker; Andrew Raymon Morton Bradbury
Journal:  MAbs       Date:  2021 Jan-Dec       Impact factor: 5.857

8.  The uniqueness of flow in probing the aggregation behavior of clinically relevant antibodies.

Authors:  Leon F Willis; Amit Kumar; Tushar Jain; Isabelle Caffry; Yingda Xu; Sheena E Radford; Nikil Kapur; Maximiliano Vásquez; David J Brockwell
Journal:  Eng Rep       Date:  2020-03-15

9.  Predicting Antibody Developability Profiles Through Early Stage Discovery Screening.

Authors:  Marc Bailly; Carl Mieczkowski; Veronica Juan; Essam Metwally; Daniela Tomazela; Jeanne Baker; Makiko Uchida; Ester Kofman; Fahimeh Raoufi; Soha Motlagh; Yao Yu; Jihea Park; Smita Raghava; John Welsh; Michael Rauscher; Gopalan Raghunathan; Mark Hsieh; Yi-Ling Chen; Hang Thu Nguyen; Nhung Nguyen; Dan Cipriano; Laurence Fayadat-Dilman
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

10.  An accelerated surface-mediated stress assay of antibody instability for developability studies.

Authors:  Marie R G Kopp; Adriana-Michelle Wolf Pérez; Marta Virginia Zucca; Umberto Capasso Palmiero; Brigitte Friedrichsen; Nikolai Lorenzen; Paolo Arosio
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

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