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In silico selection of therapeutic antibodies for development: Viscosity, clearance, and chemical stability

  • Vikas K. Sharma
  • , Thomas W. Patapoff
  • , Bruce Kabakoff
  • , Satyan Pai
  • , Eric Hilario
  • , Boyan Zhang
  • , Charlene Li
  • , Oleg Borisov
  • , Robert F. Kelley
  • , Ilya Chorny
  • , Joe Z. Zhou
  • , Ken A. Dill
  • , Trevor E. Swartz
  • Genentech, Inc
  • Simprota Corp.

Research output: Contribution to journalArticlepeer-review

226 Scopus citations

Abstract

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 andwith 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.

Original languageEnglish
Pages (from-to)18601-18606
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume111
Issue number52
DOIs
StatePublished - Dec 30 2014

Keywords

  • Degradation
  • Monoclonal antibodies
  • Pharmacokinetics
  • Prediction
  • Viscosity

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