Computational tool for the early screening of monoclonal antibodies for their viscosities

MAbs. 2016;8(1):43-8. doi: 10.1080/19420862.2015.1099773. Epub 2015 Sep 23.

Abstract

Highly concentrated antibody solutions often exhibit high viscosities, which present a number of challenges for antibody-drug development, manufacturing and administration. The antibody sequence is a key determinant for high viscosity of highly concentrated solutions; therefore, a sequence- or structure-based tool that can identify highly viscous antibodies from their sequence would be effective in ensuring that only antibodies with low viscosity progress to the development phase. Here, we present a spatial charge map (SCM) tool that can accurately identify highly viscous antibodies from their sequence alone (using homology modeling to determine the 3-dimensional structures). The SCM tool has been extensively validated at 3 different organizations, and has proved successful in correctly identifying highly viscous antibodies. As a quantitative tool, SCM is amenable to high-throughput automated analysis, and can be effectively implemented during the antibody screening or engineering phase for the selection of low-viscosity antibodies.

Keywords: antibodies; biotherapeutics; computer simulation; spatial charge map; viscosity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antibodies, Monoclonal / chemistry*
  • Models, Molecular*
  • Protein Structure, Tertiary
  • Software*
  • Viscosity

Substances

  • Antibodies, Monoclonal