Structural Characterization of Degrader-Induced Ternary Complexes Using Hydrogen-Deuterium Exchange Mass Spectrometry and Computational Modeling: Implications for Structure-Based Design.

The field of targeted protein degradation (TPD) has grown exponentially over the past decade with the goal of developing therapies that mark proteins for destruction leveraging the ubiquitin-proteasome system. One common approach to achieve TPD is to employ a heterobifunctional molecule, termed as a degrader, to recruit the protein target of interest to the E3 ligase machinery. The resultant generation of an intermediary ternary complex (target-degrader-ligase) is pivotal in the degradation process. Understanding the ternary complex geometry offers valuable insight into selectivity, catalytic efficiency, linker chemistry, and rational degrader design. In this study, we utilize hydrogen-deuterium exchange mass spectrometry (HDX-MS) to identify degrader-induced protein-protein interfaces. We then use these data in conjunction with constrained protein docking to build three-dimensional models of the ternary complex. The approach was used to characterize complex formation between the E3 ligase CRBN and the first bromodomain of BRD4, a prominent oncology target. We show marked differences in the ternary complexes formed in solution based on distinct patterns of deuterium uptake for two degraders, CFT-1297 and dBET6. CFT-1297, which exhibited positive cooperativity, altered the deuterium uptake profile revealing the degrader-induced protein-protein interface of the ternary complex. For CFT-1297, the ternary complexes generated by the highest scoring HDX-constrained docking models differ markedly from those observed in the published crystal structures. These results highlight the potential utility of HDX-MS to provide rapidly accessible structural insights into degrader-induced protein-protein interfaces in solution. They further suggest that degrader ternary complexes exhibit significant conformation flexibility and that biologically relevant complexes may well not exhibit the largest interaction surfaces between proteins. Taken together, the results indicate that methods capable of incorporating linker conformation uncertainty may prove an important component in degrader design moving forward. In addition, the development of scoring functions modified to handle interfaces with no evolved complementarity, for example, through consideration of high levels of water infiltration, may prove valuable. Furthermore, the use of crystal structures as validation tools for novel degrader methods needs to be considered with caution.

Antibody modeling assessment.

A blinded study to assess the state of the art in three-dimensional structure modeling of the variable region (Fv) of antibodies was conducted. Nine unpublished high-resolution x-ray Fab crystal structures covering a wide range of antigen-binding site conformations were used as benchmark to compare Fv models generated by four structure prediction methodologies. The methodologies included two homology modeling strategies independently developed by CCG (Chemical Computer Group) and Accerlys Inc, and two fully automated antibody modeling servers: PIGS (Prediction of ImmunoGlobulin Structure), based on the canonical structure model, and Rosetta Antibody Modeling, based on homology modeling and Rosetta structure prediction methodology. The benchmark structure sequences were submitted to Accelrys and CCG and a set of models for each of the nine antibody structures were generated. PIGS and Rosetta models were obtained using the default parameters of the servers. In most cases, we found good agreement between the models and x-ray structures. The average rmsd (root mean square deviation) values calculated over the backbone atoms between the models and structures were fairly consistent, around 1.2 Å. Average rmsd values of the framework and hypervariable loops with canonical structures (L1, L2, L3, H1, and H2) were close to 1.0 Å. H3 prediction yielded rmsd values around 3.0 Å for most of the models. Quality assessment of the models and the relative strengths and weaknesses of the methods are discussed. We hope this initiative will serve as a model of scientific partnership and look forward to future antibody modeling assessments.

An extensible and systematic force field, ESFF, for molecular modeling of organic, inorganic, and organometallic systems.

ESFF is a rule-based force field designed for modeling organic, inorganic, and organometallic systems. To cover this broad range of molecular systems, ESFF was developed in an extensible and systematic manner. Several unique features were introduced including pseudoangle and a dot product function representing torsion energy terms. The partial atomic charges that are topology-dependent are determined from ab initio (DFT) calculated electronegativity and hardness for valence orbitals. The van der Waals parameters are charge-dependent, and correlated with the ionization potential for atoms in various valence states. To obtain a set of well-defined and physically meaningful parameters, ESFF employs semiempirical rules to translate atomic-based parameters to parameters typically associated with a covalent valence force field. The atomic parameters depend not only on atom type, but also on internal type, thus resulting in a more accurate force field. This article presents the theory and the method used to develop the force field. The force field has been applied to molecular simulations of a wide variety of systems including nucleic acids, peptides, hydrocarbons, porphyrins, transition metal complexes, zeolites, and organometallic compounds. Agreement with the experimental results indicates that ESFF is a valuable tool in molecular simulations for understanding and predicting both crystal and gas phase molecular structures.