Immunoinformatic Docking Approach for the Analysis of KIR3DL1HLA-B Interaction

Abstract EN

KIR3DL1 is among the most interesting receptors studied, within the killer immunoglobulin receptor (KIR) family.

Human leukocyte antigen (HLA) class I Bw4 epitope inhibits strongly Natural Killer (NK) cell’s activity through interaction with KIR3DL1 receptor, while Bw6 generally does not.

This interaction has been indicated to play an important role in the immune control of different viral infectious diseases.

However, the structural interaction between the KIR3DL1 receptor and different HLA-B alleles has been scarcely studied.

To understand the complexity of KIR3DL1-HLA-B interaction, HLA-B alleles carrying Bw4/Bw6 epitope and KIR3DL1*001 allele in presence of different peptides has been evaluated by using a structural immunoinformatic approach.

Different energy minimization force fields (ff) have been tested and NOVA ff enables the successful prediction of ligand-receptor interaction.

HLA-B alleles carrying Bw4 epitope present the highest capability of interaction with KIR3DL1*001 compared to the HLA-B alleles presenting Bw6.

The presence of the epitope Bw4 determines a conformational change which leads to a stronger interaction between nonpolymorphic arginine at position 79 of HLA-B and KIR3DL1*001 136–142 loop.

The data shed new light on the modalities of KIR3DL1 interaction with HLA-B alleles essential for the modulation of NK immune-mediated response.