Structure based descriptors for the estimation of colloidal interactions and protein aggregation propensities

PLoS One. 2013;8(4):e59797. doi: 10.1371/journal.pone.0059797. Epub 2013 Apr 2.

Abstract

The control of protein aggregation is an important requirement in the development of bio-pharmaceutical formulations. Here a simple protein model is proposed that was used in molecular dynamics simulations to obtain a quantitative assessment of the relative contributions of proteins' net-charges, dipole-moments, and the size of hydrophobic or charged surface patches to their colloidal interactions. The results demonstrate that the strength of these interactions correlate with net-charge and dipole moment. Variation of both these descriptors within ranges typical for globular proteins have a comparable effect. By comparison no clear trends can be observed upon varying the size of hydrophobic or charged patches while keeping the other parameters constant. The results are discussed in the context of experimental literature data on protein aggregation. They provide a clear guide line for the development of improved algorithms for the prediction of aggregation propensities.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Colloids
  • Hydrophobic and Hydrophilic Interactions
  • Molecular Dynamics Simulation*
  • Proteins / chemistry*
  • Solubility
  • Static Electricity

Substances

  • Colloids
  • Proteins

Grants and funding

This work was supported by the FFG,(Osterreichische Forschungsf orderungsgesellschaft). Land Steiermark, Steirische Wirtschaftsförderung (SFG) and A Sandoz GmbH (Kundl, Austria). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.