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In silico selection of therapeutic antibodies for development: Viscosity, clearance, and chemical stability
Author(s) -
Vikas Sharma,
Thomas W. Patapoff,
Bruce Kabakoff,
Satyan Pai,
Eric Hilario,
Boyan Zhang,
Charlene Li,
Oleg Borisov,
Robert F. Kelley,
Ilya Chorny,
Joe Zhou,
Ken A. Dill,
Trevor E. Swartz
Publication year - 2014
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1421779112
Subject(s) - molecular dynamics , chemistry , in silico , solvent exposure , tryptophan , complementarity determining region , solvent , antibody , monoclonal antibody , biophysics , in vivo , aspartic acid , chemical physics , computational chemistry , biochemistry , amino acid , biology , immunology , genetics , gene
For mAbs to be viable therapeutics, they must be formulated to have low viscosity, be chemically stable, and have normal in vivo clearance rates. We explored these properties by observing correlations of up to 60 different antibodies of the IgG1 isotype. Unexpectedly, we observe significant correlations with simple physical properties obtainable from antibody sequences and by molecular dynamics simulations of individual antibody molecules. mAbs viscosities increase strongly with hydrophobicity and charge dipole distribution and decrease with net charge. Fast clearance correlates with high hydrophobicities of certain complementarity determining regions and with high positive or high negative net charge. Chemical degradation from tryptophan oxidation correlates with the average solvent exposure time of tryptophan residues. Aspartic acid isomerization rates can be predicted from solvent exposure and flexibility as determined by molecular dynamics simulations. These studies should aid in more rapid screening and selection of mAb candidates during early discovery.

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