Models for Antibody Behavior in Hydrophobic Interaction Chromatography and in Self-Association

被引:15
作者
Hebditch, Max [1 ]
Roche, Aisling [2 ]
Curtis, Robin A. [2 ]
Warwicker, Jim [1 ]
机构
[1] Univ Manchester, Manchester Inst Biotechnol, Sch Chem, Manchester M1 7DN, Lancs, England
[2] Univ Manchester, Manchester Inst Biotechnol, Sch Chem Engn & Analyt Sci, Manchester M1 7DN, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
biotechnology; IgG antibody; biophysical model; protein aggregation; molecular modeling; physicochemical properties; proteins; self-association; computational biology; interactions; PROTEIN-PROTEIN INTERACTIONS; CLUSTER FORMATION; AGGREGATION; PREDICTION; DEVELOPABILITY; SOLUBILITY; CHALLENGES; RETENTION; MAGNITUDE; STABILITY;
D O I
10.1016/j.xphs.2018.11.035
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Monoclonal antibodies (mAbs) form an increasingly important sector of the pharmaceutical market, and their behavior in production, processing, and formulation is a key factor in development. With data sets of solution properties for mAbs becoming available, and with amino acid sequences, and structures for many Fabs, it is timely to examine what features correlate with measured data. Here, previously published data for hydrophobic interaction chromatography and the formation of high molecular weight species are studied. Unsurprisingly, aromatic sidechain content of complementarity-determining regions (CDRs), underpins much of the variability in hydrophobic interaction chromatography data. However, this is not reflected in nonpolar solvent accessible surface enrichment at the antigen-combining site, consistent with a view in which hydrophobic interaction strength is dependent on curvature as well as on the extent of an interface. Sequence properties are also superior to surface-based structural properties in correlations with the high molecular weight species data. Combined length of CDRs is the most important factor, which could be an indication of flexibility that facilitates CDR-CDR interactions in mAb self-association. These observations couple to our understanding of protein physicochemical properties, laying the groundwork for improved developability models. (c) 2019 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1434 / 1441
页数:8
相关论文
共 50 条
  • [31] Self-association of α-tocopherol: a computer simulation
    Steglenko, D. V.
    Ryzhkina, I. S.
    Konovalov, A. I.
    Starikov, A. G.
    Minkin, V. I.
    RUSSIAN CHEMICAL BULLETIN, 2014, 63 (01) : 54 - 59
  • [32] Self-association of Streptococcus pyogenes collagen-like constructs into higher order structures
    Yoshizumi, Ayumi
    Yu, Zhuoxin
    Silva, Teresita
    Thiagarajan, Geetha
    Ramshaw, John A. M.
    Inouye, Masayori
    Brodsky, Barbara
    PROTEIN SCIENCE, 2009, 18 (06) : 1241 - 1251
  • [33] Biophysical characterization and molecular simulation of electrostatically driven self-association of a single-chain antibody
    O'Brien, Christopher J.
    Calero-Rubio, Cesar
    Razinkov, Vladimir I.
    Robinson, Anne S.
    Roberts, Christopher J.
    PROTEIN SCIENCE, 2018, 27 (07) : 1275 - 1285
  • [34] Separation of mAbs molecular variants by analytical hydrophobic interaction chromatography HPLC Overview and applications
    Haverick, Mark
    Mengisen, Selina
    Shameem, Mohammed
    Ambrogelly, Alexandre
    MABS, 2014, 6 (04) : 852 - 858
  • [35] Engineering the surface properties of a human monoclonal antibody prevents self-association and rapid clearance in vivo
    Dobson, Claire L.
    Devine, Paul W. A.
    Phillips, Jonathan J.
    Higazi, Daniel R.
    Lloyd, Christopher
    Popovic, Bojana
    Arnold, Joanne
    Buchanan, Andrew
    Lewis, Arthur
    Goodman, Joanne
    van der Walle, Christopher F.
    Thornton, Peter
    Vinall, Lisa
    Lowne, David
    Aagaard, Anna
    Olsson, Lise-Lotte
    Wollberg, Anna Ridderstad
    Welsh, Fraser
    Karamanos, Theodoros K.
    Pashley, Clare L.
    Iadanza, Matthew G.
    Ranson, Neil A.
    Ashcroft, Alison E.
    Kippen, Alistair D.
    Vaughan, Tristan J.
    Radford, Sheena E.
    Lowe, David C.
    SCIENTIFIC REPORTS, 2016, 6
  • [36] Preventing Protein Self-Association Through Strategic Covalent Modification
    Chintala, Swetha
    Friedman, Simon H.
    JOURNAL OF PEPTIDE SCIENCE, 2025, 31 (04)
  • [37] Monoclonal Antibody Self-Association, Cluster Formation, and Rheology at High Concentrations
    Lilyestrom, Wayne G.
    Yadav, Sandeep
    Shire, Steven J.
    Scherer, Thomas M.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2013, 117 (21) : 6373 - 6384
  • [38] Self-association of novel mixed 3-mono-O-alkyl cellulose: Effect of the hydrophobic moieties ratio
    Sullo, Antonio
    Wang, Yunhui
    Koschella, Andreas
    Heinze, Thomas
    Foster, Tim J.
    CARBOHYDRATE POLYMERS, 2013, 93 (02) : 574 - 581
  • [39] The Self-Association of the Cyclotide Kalata B2 in Solution is Guided by Hydrophobic Interactions
    Rosengren, K. Johan
    Daly, Norelle L.
    Harvey, Peta J.
    Craik, David J.
    BIOPOLYMERS, 2013, 100 (05) : 453 - 460
  • [40] Reversible self-association of a concentrated monoclonal antibody solution mediated by Fab-Fab interaction that impacts solution viscosity
    Kanai, Sonoko
    Liu, Jun
    Patapoff, Thomas W.
    Shire, Steven J.
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2008, 97 (10) : 4219 - 4227