2026/10/23

Masoumeh Nosrati

Academic rank: Assistant Professor
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Education: PhD.
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Faculty: Basic Sciences
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H-Index: 6

Research

Title
Insights from engineering the Affibody-Fc interaction with a computational-experimental method
Type
JournalPaper
Keywords
affinity, computational prediction, protein-protein interactions, surface plasmon resonance, Staphylococcal Protein A
Year
2017
Journal PROTEIN ENGINEERING DESIGN & SELECTION
DOI https://doi.org/10.1093/protein/gzx023
Researchers Masoumeh Nosrati ، Sara Solbak، Olle Nordesjö، Mikael Nissbeck، Daniel F.A.R. Dourado، Ken G. Andersson، Mohammad Reza Housaindokht، John Löfblom، Anders Virtanen، U. Helena Danielson، Samuel Coulbourn Flores

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 vari ation 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–pro tein systems, providing molecular insights with lower workload than existing experimental techniques