Literature DB >> 31254774

Sequence features of variable region determining physicochemical properties and polyreactivity of therapeutic antibodies.

Maxime Lecerf1, Alexia Kanyavuz1, Sébastien Lacroix-Desmazes1, Jordan D Dimitrov2.   

Abstract

Therapeutic antibodies have transformed the clinical practice. Not surprisingly, development of antibody therapeutics is currently the main focus of the biotechnology industry. Nonetheless, the development process is complex, and many antibodies do not reach the clinic. Reasons for the failures include, undesired binding behavior (polyreactivity), low stability, poor expression yields, unfavorable pharmacokinetics etc. Numerous studies have proposed different analytical methods for assessment of physicochemical parameters of antibodies and identification of problematic molecules at early stages of the development process. These studies, however, have not addressed the basic mechanistic question of how sequence features of variable regions determinate the different biophysical characteristics and the binding behavior of the antibodies. In a recent study, Jain et al assessed 12 biophysical qualities of 137 monoclonal therapeutic antibodies. We used the raw data from this comprehensive study to perform correlation analyses of different biophysical measurables with various sequence features of variable regions of the antibodies - number of mutations, length of hypervariable loops, and frequency of amino acid residue types. The obtained data reveled significant relationships between the sequence characteristics of the variable domains and different physiochemical properties of antibodies. The data from this study can assist in design of a set of criteria for early identification of antibodies with developability issues. Moreover, our findings provide novel fundamental insights into the sequence-function relationship of antibodies.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Biophysical properties of antibodies; Developability; Immunoglobulins; Polyreactivity; Polyreactivity variable region; Sequence analyses; Therapeutic antibodies

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Year:  2019        PMID: 31254774     DOI: 10.1016/j.molimm.2019.06.012

Source DB:  PubMed          Journal:  Mol Immunol        ISSN: 0161-5890            Impact factor:   4.407


  8 in total

Review 1.  Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics.

Authors:  Rahul Khetan; Robin Curtis; Charlotte M Deane; Johannes Thorling Hadsund; Uddipan Kar; Konrad Krawczyk; Daisuke Kuroda; Sarah A Robinson; Pietro Sormanni; Kouhei Tsumoto; Jim Warwicker; Andrew C R Martin
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

2.  Interaction of clinical-stage antibodies with heme predicts their physiochemical and binding qualities.

Authors:  Maxime Lecerf; Alexia Kanyavuz; Sofia Rossini; Jordan D Dimitrov
Journal:  Commun Biol       Date:  2021-03-23

3.  Biochemical patterns of antibody polyreactivity revealed through a bioinformatics-based analysis of CDR loops.

Authors:  Christopher T Boughter; Marta T Borowska; Jenna J Guthmiller; Albert Bendelac; Patrick C Wilson; Benoit Roux; Erin J Adams
Journal:  Elife       Date:  2020-11-10       Impact factor: 8.140

4.  Functional Changes of Therapeutic Antibodies upon Exposure to Pro-Oxidative Agents.

Authors:  Maxime Lecerf; Robin Lacombe; Alexia Kanyavuz; Jordan D Dimitrov
Journal:  Antibodies (Basel)       Date:  2022-02-02

5.  SSH2.0: A Better Tool for Predicting the Hydrophobic Interaction Risk of Monoclonal Antibody.

Authors:  Yuwei Zhou; Shiyang Xie; Yue Yang; Lixu Jiang; Siqi Liu; Wei Li; Hamza Bukari Abagna; Lin Ning; Jian Huang
Journal:  Front Genet       Date:  2022-03-15       Impact factor: 4.599

6.  A New in Silico Antibody Similarity Measure Both Identifies Large Sets of Epitope Binders with Distinct CDRs and Accurately Predicts Off-Target Reactivity.

Authors:  Astrid Musnier; Thomas Bourquard; Amandine Vallet; Laetitia Mathias; Gilles Bruneau; Mohammed Akli Ayoub; Ophélie Travert; Yannick Corde; Nathalie Gallay; Thomas Boulo; Sandra Cortes; Hervé Watier; Pascale Crépieux; Eric Reiter; Anne Poupon
Journal:  Int J Mol Sci       Date:  2022-08-28       Impact factor: 6.208

Review 7.  Phage Display Derived Monoclonal Antibodies: From Bench to Bedside.

Authors:  Mohamed A Alfaleh; Hashem O Alsaab; Ahmad Bakur Mahmoud; Almohanad A Alkayyal; Martina L Jones; Stephen M Mahler; Anwar M Hashem
Journal:  Front Immunol       Date:  2020-08-28       Impact factor: 7.561

8.  Highly sensitive detection of antibody nonspecific interactions using flow cytometry.

Authors:  Emily K Makowski; Lina Wu; Alec A Desai; Peter M Tessier
Journal:  MAbs       Date:  2021 Jan-Dec       Impact factor: 5.857

  8 in total

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