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1.
Nat Commun ; 9(1): 1372, 2018 04 10.
Article in English | MEDLINE | ID: mdl-29636462

ABSTRACT

Cations play key roles in regulating G-protein-coupled receptors (GPCRs), although their mechanisms are poorly understood. Here, 19F NMR is used to delineate the effects of cations on functional states of the adenosine A2A GPCR. While Na+ reinforces an inactive ensemble and a partial-agonist stabilized state, Ca2+ and Mg2+ shift the equilibrium toward active states. Positive allosteric effects of divalent cations are more pronounced with agonist and a G-protein-derived peptide. In cell membranes, divalent cations enhance both the affinity and fraction of the high affinity agonist-bound state. Molecular dynamics simulations suggest high concentrations of divalent cations bridge specific extracellular acidic residues, bringing TM5 and TM6 together at the extracellular surface and allosterically driving open the G-protein-binding cleft as shown by rigidity-transmission allostery theory. An understanding of cation allostery should enable the design of allosteric agents and enhance our understanding of GPCR regulation in the cellular milieu.


Subject(s)
Adenosine-5'-(N-ethylcarboxamide)/chemistry , Adenosine/chemistry , Calcium/chemistry , Magnesium/chemistry , Receptor, Adenosine A2A/chemistry , Triazines/chemistry , Triazoles/chemistry , Adenosine/metabolism , Adenosine-5'-(N-ethylcarboxamide)/metabolism , Allosteric Regulation , Amino Acid Sequence , Animals , Binding Sites , Calcium/metabolism , Cations, Divalent , Crystallography, X-Ray , Gene Expression , Humans , Kinetics , Magnesium/metabolism , Models, Molecular , Molecular Dynamics Simulation , Protein Binding , Protein Conformation, alpha-Helical , Protein Conformation, beta-Strand , Protein Interaction Domains and Motifs , Receptor, Adenosine A2A/genetics , Receptor, Adenosine A2A/metabolism , Recombinant Proteins/chemistry , Recombinant Proteins/genetics , Recombinant Proteins/metabolism , Sf9 Cells , Spodoptera , Thermodynamics , Triazines/metabolism , Triazoles/metabolism
2.
Front Immunol ; 9: 413, 2018.
Article in English | MEDLINE | ID: mdl-29545810

ABSTRACT

Antibodies can rapidly evolve in specific response to antigens. Affinity maturation drives this evolution through cycles of mutation and selection leading to enhanced antibody specificity and affinity. Elucidating the biophysical mechanisms that underlie affinity maturation is fundamental to understanding B-cell immunity. An emergent hypothesis is that affinity maturation reduces the conformational flexibility of the antibody's antigen-binding paratope to minimize entropic losses incurred upon binding. In recent years, computational and experimental approaches have tested this hypothesis on a small number of antibodies, often observing a decrease in the flexibility of the complementarity determining region (CDR) loops that typically comprise the paratope and in particular the CDR-H3 loop, which contributes a plurality of antigen contacts. However, there were a few exceptions and previous studies were limited to a small handful of cases. Here, we determined the structural flexibility of the CDR-H3 loop for thousands of recent homology models of the human peripheral blood cell antibody repertoire using rigidity theory. We found no clear delineation in the flexibility of naïve and antigen-experienced antibodies. To account for possible sources of error, we additionally analyzed hundreds of human and mouse antibodies in the Protein Data Bank through both rigidity theory and B-factor analysis. By both metrics, we observed only a slight decrease in the CDR-H3 loop flexibility when comparing affinity matured antibodies to naïve antibodies, and the decrease was not as drastic as previously reported. Further analysis, incorporating molecular dynamics simulations, revealed a spectrum of changes in flexibility. Our results suggest that rigidification may be just one of many biophysical mechanisms for increasing affinity.


Subject(s)
Binding Sites, Antibody/genetics , Complementarity Determining Regions/genetics , Immunoglobulin Heavy Chains/genetics , Animals , Antibody Affinity , Antibody Specificity/immunology , Antigens/immunology , Complementarity Determining Regions/chemistry , Crystallography, X-Ray , Databases, Protein , Humans , Immunity, Humoral , Immunoglobulin Heavy Chains/chemistry , Immunologic Memory , Mice , Models, Chemical , Molecular Dynamics Simulation , Protein Conformation , Structure-Activity Relationship
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