Structure and Dynamics of Monoclonal Antibody Domains Using Spins, Scattering, and Simulations

被引:0
|
作者
Szalai, Veronika A. [1 ]
Bergonzo, Christina [2 ,3 ]
Lyon, Rachel B. [2 ]
Kelman, Zvi [2 ,3 ]
Schmidt, Thomas [4 ]
Grishaev, Alexander [2 ,3 ]
机构
[1] Natl Inst Stand & Technol, Phys Measurement Lab, Gaithersburg, MD 20899 USA
[2] Univ Maryland, Inst Biosci & Biotechnol Res, 9600 Gudelsky Dr, Rockville, MD 20850 USA
[3] Natl Inst Stand & Technol, Mat Measurement Lab, 100 Bur Dr, Gaithersburg, MD 20899 USA
[4] Natl Inst Diabet & Digest & Kidney Dis, Lab Chem Phys, NIH, Bethesda, MD 20892 USA
关键词
Double electron-electron resonance spectroscopy; molecular dynamics; solution X-ray scattering; monoclonal antibody biologics; biopharmaceutical development; MOLECULAR-DYNAMICS; DISTANCE MEASUREMENTS; ESCHERICHIA-COLI; BINDING DOMAIN; T4; LYSOZYME; PROTEIN; EPR; DEER; INTEGRATION; CONSTRAINTS;
D O I
10.1002/cmdc.202400917
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Antibody-based pharmaceuticals are the leading biologic drug platform (> $75B/year).[1] Despite a wealth of information collected on them, there is still a lack of knowledge on their inter-domain structural distributions, which impedes innovation and development. To address this measurement gap, we have developed a new methodology to derive biomolecular structure ensembles from distance distribution measurements via a library of tagged proteins bound to an unlabeled and otherwise unmodified target biologic. We have employed the NIST monoclonal antibody (NISTmAb) reference material as our development platform for use with spin-labeled affinity protein (SLAP) reagents. Using double electron-electron resonance (DEER) spectroscopy, we have determined inter-spin distance distributions in SLAP complexes of both the isolated Fc domain and the intact NISTmAb. Our SLAP reagents offer a general and extendable technology, compatible with any non-isotopically labeled immunoglobulin G class mAb. Integrating molecular simulations with the DEER and solution X-ray scattering measurements, we enable simultaneous determination of structural distributions and dynamics of mAb-based biologics.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Characterizing Protein-Protein Interactions and Viscosity of a Monoclonal Antibody from Low to High Concentration Using Small-Angle X-ray Scattering and Molecular Dynamics Simulations
    Chowdhury, Amjad A.
    Manohar, Neha
    Lanzaro, Alfredo
    Kimball, William D.
    Witek, Marta A.
    Woldeyes, Mahlet A.
    Majumdar, Ranajoy
    Qian, Ken K.
    Xu, Shifeng
    Gillilan, Richard E.
    Huang, Qingqiu
    Truskett, Thomas M.
    Johnston, Keith P.
    MOLECULAR PHARMACEUTICS, 2023, 20 (11) : 5563 - 5578
  • [2] Investigating Structure and Dynamics of Proteins in Amorphous Phases Using Neutron Scattering
    Castellanos, Maria Monica
    McAuley, Arnold
    Curtis, Joseph E.
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2017, 15 : 117 - 130
  • [3] Identifying the Hierarchy of Dynamic Domains in Proteins Using the Data of Molecular Dynamics Simulations
    Yesylevskyy, Semen O.
    PROTEIN AND PEPTIDE LETTERS, 2010, 17 (04) : 507 - 516
  • [4] Reproducible polypeptide folding and structure prediction using molecular dynamics simulations
    Seibert, MM
    Patriksson, A
    Hess, B
    van der Spoel, D
    JOURNAL OF MOLECULAR BIOLOGY, 2005, 354 (01) : 173 - 183
  • [5] Prediction of the crystalline structure of a novel polythiophene using molecular dynamics simulations
    Vouyovitch, L
    Brown, D
    Neyertz, S
    Gallot, B
    SOFT MATERIALS, 2003, 1 (01) : 93 - 113
  • [6] Small-Angle Neutron Scattering Study of a Monoclonal Antibody Using Free-Energy Constraints
    Clark, Nicholas J.
    Zhang, Hailiang
    Krueger, Susan
    Lee, Hyo Jin
    Ketchem, Randal R.
    Kerwin, Bruce
    Kanapuram, Sekhar R.
    Treuheit, Michael J.
    McAuley, Arnold
    Curtis, Joseph E.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2013, 117 (45) : 14029 - 14038
  • [7] Simulations of inelastic neutron scattering spectra by molecular dynamics
    Li, JC
    PHYSICA B, 1999, 263 : 404 - 407
  • [8] Predictive Model Building for Aggregation Kinetics Based on Molecular Dynamics Simulations of an Antibody Fragment
    Wang, Yuhan
    Williams, Hywel D.
    Dikicioglu, Duygu
    Dalby, Paul A.
    MOLECULAR PHARMACEUTICS, 2024, 21 (11) : 5827 - 5841
  • [9] Refinement of comparative models of protein structure by using multicanonical molecular dynamics simulations
    Ishitani, Ryuichiro
    Terada, Tohru
    Shimizu, Kentaro
    MOLECULAR SIMULATION, 2008, 34 (03) : 327 - 336
  • [10] Assessment of the utility of contact-based restraints in accelerating the prediction of protein structure using molecular dynamics simulations
    Raval, Alpan
    Piana, Stefano
    Eastwood, Michael P.
    Shaw, David E.
    PROTEIN SCIENCE, 2016, 25 (01) : 19 - 29