Insights from engineering the Affibody-Fc interaction with a computational-experimental method.

TitleInsights from engineering the Affibody-Fc interaction with a computational-experimental method.
Publication TypeJournal Article
Year of Publication2017
AuthorsNosrati M, Solbak S, Nordesjö O, Nissbeck M, Dourado DFAR, Andersson KG, Housaindokht MReza, Löfblom J, Virtanen A, U Danielson H, Flores SCoulbourn
JournalProtein Eng Des Sel
Volume30
Issue9
Pagination593-601
Date Published2017 Sep 01
ISSN1741-0134
KeywordsAmino Acid Substitution, Antibody Affinity, Binding Sites, Cloning, Molecular, Escherichia coli, Gene Expression, Humans, Hydrophobic and Hydrophilic Interactions, Immunoglobulin Fc Fragments, Kinetics, Lysine, Models, Molecular, Plasmids, Protein Binding, Protein Conformation, alpha-Helical, Protein Conformation, beta-Strand, Protein Interaction Domains and Motifs, Recombinant Proteins, Staphylococcal Protein A, Staphylococcus aureus, Static Electricity, Thermodynamics
Abstract

The interaction between the Staphylococcal Protein A (SpA) domain B (the basis of the Affibody) molecule and the Fc of IgG is key to the use of Affibodies in affinity chromatography and in potential therapies against certain inflammatory diseases. Despite its importance and four-decade history, to our knowledge this interaction has never been affinity matured. We elucidate reasons why single-substitutions in the SpA which improve affinity to Fc may be very rare, and also discover substitutions which potentially serve several engineering purposes. We used a variation of FoldX to predict changes in protein-protein-binding affinity, and produce a list of 41 single-amino acid substitutions on the SpA molecule, of which four are near wild type (wt) and five are at most a factor of four from wt affinity. The nine substitutions include one which removes lysine, and several others which change charge. Subtle modulations in affinity may be useful for modifying column elution conditions. The method is applicable to other protein-protein systems, providing molecular insights with lower workload than existing experimental techniques.

DOI10.1093/protein/gzx023
Alternate JournalProtein Eng. Des. Sel.
PubMed ID28472513