Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
Abstract Background TIGIT, as a novel immune checkpoint molecule involved in T cell and NK cell anergy, could induce the immune tolerance and escape through binding with its ligand PVR. Blockade of TIGIT/PVR is considered as a promising strategy in cancer immunotherapy. However, to facilitate the design of inhibitors targeting TIGIT/PVR, the structural characteristics and binding mechanism still need to be further studied. Methods In this study, molecular dynamics (MD) simulations and in silico mutagenesis were used to analyze the interaction between TIGIT and its ligand PVR. Then, PVR mutants were designed and their activities were determined by using TIGIT overexpressed Jurkat cells. Results The results suggested that the loops of PVR (CC′ loop, C′C″ loop, and FG loop) underwent a large intra-molecular rearrangement, and more hydrogen bond crosslinking between PVR and TIGIT were formed during MD simulations. The potential residues for PVR to interact with TIGIT were identified and utilized to predict high affinity PVR mutants. Through the biological activity evaluation, four PVR mutants (PVRS72W, PVRS72R, PVRG131V and PVRS132Q) with enhanced affinity to TIGIT were discovered, which could elicit more potent inhibitory effects compared with the wild type PVR. Conclusions The MD simulations analysis provided new insights into the TIGIT/PVR interaction model, and the identified PVR mutants (PVRS72W, PVRS72R, PVRG131V and PVRS132Q) could serve as new candidates for immunotherapy to block TIGIT/PVR.
- Zhengzhou University China (People's Republic of)
- Sun Yat-sen University China (People's Republic of)
Cancer immunotherapy, CHO Cells, Molecular dynamics, Molecular Dynamics Simulation, Drug design, Jurkat Cells, Cricetulus, Animals, Humans, Receptors, Immunologic, QH573-671, Research, R, Coculture Techniques, TIGIT/PVR, HEK293 Cells, Mutagenesis, Mutation, Medicine, Computer-Aided Design, Receptors, Virus, Cytology, Protein Binding
Cancer immunotherapy, CHO Cells, Molecular dynamics, Molecular Dynamics Simulation, Drug design, Jurkat Cells, Cricetulus, Animals, Humans, Receptors, Immunologic, QH573-671, Research, R, Coculture Techniques, TIGIT/PVR, HEK293 Cells, Mutagenesis, Mutation, Medicine, Computer-Aided Design, Receptors, Virus, Cytology, Protein Binding
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