Aglycosylated immunoglobulin G1 variants productively engage activating Fc receptors.

Immunoglobulin G plays a vital role in adaptive immunity and antibody-based therapy through engagement of its Fc region by the Fc gamma receptors (Fc gammaRs) on immune cells. In addition to specific protein-protein contacts, N-linked glycosylation of the IgG Fc has been thought to be essential for the recognition of Fc by Fc gammaR. This requirement for the N-linked glycan has limited biomanufacture of therapeutic antibodies by restricting it to mammalian expression systems. We report here aglycosylated Fc domain variants that maintain engagement to Fc gammaRs, both in vitro and in vivo, demonstrating that Fc glycosylation is not strictly required for the activation of immune cells by IgG. These variants provide insight into how the N-linked glycan is used biologically in the recognition of Fc by Fc gammaRs, as well as represent a step toward the production in alternative expression systems of antibody-based therapeutics capable of eliciting immune effector functions.

Efficient Computation of Small-Molecule Configurational Binding Entropy and Free Energy Changes by Ensemble Enumeration.

Here we present a novel, end-point method using the dead-end-elimination and A* algorithms to efficiently and accurately calculate the change in free energy, enthalpy, and configurational entropy of binding for ligand-receptor association reactions. We apply the new approach to the binding of a series of human immunodeficiency virus (HIV-1) protease inhibitors to examine the effect ensemble reranking has on relative accuracy as well as to evaluate the role of the absolute and relative ligand configurational entropy losses upon binding in affinity differences for structurally related inhibitors. Our results suggest that most thermodynamic parameters can be estimated using only a small fraction of the full configurational space, and we see significant improvement in relative accuracy when using an ensemble versus single-conformer approach to ligand ranking. We also find that using approximate metrics based on the single-conformation enthalpy differences between the global minimum energy configuration in the bound as well as unbound states also correlates well with experiment. Using a novel, additive entropy expansion based on conditional mutual information, we also analyze the source of ligand configurational entropy loss upon binding in terms of both uncoupled per degree of freedom losses as well as changes in coupling between inhibitor degrees of freedom. We estimate entropic free energy losses of approximately +24 kcal/mol, 12 kcal/mol of which stems from loss of translational and rotational entropy. Coupling effects contribute only a small fraction to the overall entropy change (1-2 kcal/mol) but suggest differences in how inhibitor dihedral angles couple to each other in the bound versus unbound states. The importance of accounting for flexibility in drug optimization and design is also discussed.

Efficient calculation of molecular configurational entropies using an information theoretic approximation.

Accurate computation of free energy changes upon molecular binding remains a challenging problem, and changes in configurational entropy are especially difficult due to the potentially large numbers of local minima, anharmonicity, and high-order coupling among degrees of freedom. Here we propose a new method to compute molecular entropies based on the maximum information spanning tree (MIST) approximation that we have previously developed. Estimates of high-order couplings using only low-order terms provide excellent convergence properties, and the theory is also guaranteed to bound the entropy. The theory is presented together with applications to the calculation of the entropies of a variety of small molecules and the binding entropy change for a series of HIV protease inhibitors. The MIST framework developed here is demonstrated to compare favorably with results computed using the related mutual information expansion (MIE) approach, and an analysis of similarities between the methods is presented.