Dynamics and Mechanism of Binding of Androstenedione to Membrane-Associated Aromatase

Charged Amino Acids in the Transmembrane Helix Strongly Affect the Enzyme Activity of Aromatase

Estrogens play critical roles in embryonic development, gonadal sex differentiation, behavior, and reproduction in vertebrates and in several human cancers. Estrogens are synthesized from testosterone and androstenedione by the endoplasmic reticulum membrane-bound P450 aromatase/cytochrome P450 oxidoreductase complex (CYP19/CPR). Here, we report the characterization of novel mammalian CYP19 isoforms encoded by CYP19 gene copies. These CYP19 isoforms are all defined by a combination of mutations in the N-terminal transmembrane helix (E42K, D43N) and in helix C of the catalytic domain (P146T, F147Y). The mutant CYP19 isoforms show increased androgen conversion due to the KN transmembrane helix. In addition, the TY substitutions in helix C result in a substrate preference for androstenedione. Our structural models suggest that CYP19 mutants may interact differently with the membrane (affecting substrate uptake) and with CPR (affecting electron transfer), providing structural clues for the catalytic differences.

Influence of cholesterol on kinetic parameters for human aromatase (P450 19A1) in phospholipid nanodiscs

Cholesterol, a significant constituent of the endoplasmic reticulum membrane, exerts a substantial effect on the membrane's biophysical and mechanical properties. Cholesterol, however, is often neglected in model systems used to study membrane-bound proteins. For example, the influence of cholesterol on the enzymatic functions of type 2 cytochromes P450, which require a phospholipid bilayer and the redox partner P450-oxidoreductase (POR) for activity, are rarely investigated. Human aromatase (P450 19A1) catalyzes three sequential oxygenations of 19‑carbon steroids to estrogens and is widely expressed across various tissues, which are characterized by varying cholesterol compositions. Our study examined the impact of cholesterol on the functionality of the P450 19A1 complex with POR. Nanodiscs containing P450 19A1 with 20% cholesterol/80% phospholipid had similar rates and affinity of androstenedione binding as phospholipid-only P450 19A1 nanodiscs, and rates of product formation were indistinguishable among these conditions. In contrast, the rate of the first electron transfer from POR to P450 19A1 was 3-fold faster in cholesterol-containing nanodiscs than in phospholipid-only nanodiscs. These results suggest that cholesterol influences some aspects of POR interaction with P450 19A1 and might serve as an additional regulatory mechanism in this catalytic system.

Flexible Gaussian Accelerated Molecular Dynamics to Enhance Biological Sampling

Molecular dynamics simulations often struggle to obtain sufficient sampling to study complex molecular events due to high energy barriers separating the minima of interest. Multiple enhanced sampling techniques have been developed and improved over the years to tackle this issue. Gaussian accelerated molecular dynamics (GaMD) is a recently developed enhanced sampling technique that works by adding a biasing potential, lifting the energy landscape up, and decreasing the height of its barriers. GaMD allows one to increase the sampling of events of interest without the need of a priori knowledge of the system or the relevant coordinates. All required acceleration parameters can be obtained from a previous search run. Upon its development, several improvements for the methodology have been proposed, among them selective GaMD in which the boosting potential is selectively applied to the region of interest. There are currently four selective GaMD methods that have shown promising results. However, all of these methods are constrained on the number, location, and scenarios in which this selective boosting potential can be applied to ligands, peptides, or protein-protein interactions. In this work, we showcase a GROMOS implementation of the GaMD methodology with a fully flexible selective GaMD approach that allows the user to define, in a straightforward way, multiple boosting potentials for as many regions as desired. We show and analyze the advantages of this flexible selective approach on two previously used test systems, the alanine dipeptide and the chignolin peptide, and extend these examples to study its applicability and potential to study conformational changes of glycans and glycosylated proteins.

Nanodisc-embedded cytochrome P450 P3A4 binds diverse ligands by distributing conformational dynamics to its flexible elements

Cytochrome P450 3A4 (CYP3A4) metabolizes a wide range of drugs and toxins. Interactions of CYP3A4 with ligands are difficult to predict due to promiscuity and conformational flexibility. To better understand CYP3A4 conformational responses to ligands we use hydrogen deuterium exchange mass spectrometry (HDX-MS) to investigate the effect of ligands on nanodisc-embedded CYP3A4. For a subset of CYP3A4-ligand complexes, differences in the low-frequency modes derived by principal component analyses of molecular dynamics trajectories mirrored the HDX-MS results. The effects of ligands are distributed to flexible elements of CYP3A4 between stretches of secondary structure. The largest effects occur in the F- and G-helices, where most ligands increase the flexibility of the F-helix and connecting loops and decrease the flexibility of the C-term of the G-helix. Most ligands affect the E-F-G, CD and HI regions of the protein. Ligand-dependent differences are observed in the A"-A' loop, BC region, E-helix, K-β1 region, proximal loop, and C-term loop. Correlated HDX responses were observed in the CD region and the C-term of the G-helix that were most pronounced for Type II ligands. Collectively, the HDX and molecular dynamics results suggest that CYP3A4 accommodates diverse binding partners by propagating local backbone fluctuations from the binding site onto the flexible regions of the enzyme via long-range interactions that are differentially modulated by ligands. In contrast to the paradigm wherein ligands decrease protein dynamics at their binding site, a wide range of ligands modestly increase CYP3A4 dynamics throughout the protein including effects remote from the active site.

Key regulators in the architecture of substrate access/egress channels in mammalian cytochromes P450 governing flexibility in substrate oxyfunctionalization

Cytochrome P450s (CYP) represent a superfamily of b-type hemoproteins catalyzing oxifunctionalization of a vast array of endogenous and exogenous compounds. The present review focuses on assessment of the topology of prospective determinants in substrate entry and product release channels of mammalian P450s, steering the conformational dynamics of substrate accessibility and productive ligand orientation toward the iron-oxene core. Based on a generalized, CYP3A4-related construct, the sum of critical elements from diverse target enzymes was found to cluster within the known substrate recognition sites. The majority of prevalent substrate access/egress tunnels revealed to be of fairly balanced functional importance. The hydrophobicity profile of the candidates revealed to be the most salient feature in functional interaction throughout the conduits, while bulkiness of the residues imposes steric restrictions on substrate traveling. Thus, small amino acids such as prolines and glycines serve as hinges, driving conformational flexibility in ligand passage. Similarly, bottlenecks in the tunnel architecture, being narrowest encounter points within the CYP3A4 model, have a vital function in substrate selectivity along with clusters of aromatic amino acids acting as gatekeepers. In addition, peripheral patches in conduits may house determinants modulating allosteric cooperativity between remote and central domains in the P450 structure. Remarkably, the bulk critical residues lining tunnels in the various isozymes reside in helices B'/C and F/G inclusive of their interhelical turns as well as in helix I. This suggests these regions to represent hotspots for targeted genetic engineering to tailor more sophisticated mammalian P450s exploitable in industrial, biotechnological and medicinal areas.

Long Range Communication between the Drug-Binding Sites and Nucleotide Binding Domains of the Efflux Transporter ABCB1

The ABC efflux pump P-glycoprotein (P-gp) transports a wide variety of drugs and is inhibited by others. Some drugs stimulate ATP hydrolysis at the nucleotide binding domains (NBDs) and are transported, others uncouple ATP hydrolysis and transport, and others inhibit ATP hydrolysis. The molecular basis for the different behavior of these drugs is not well understood despite the availability of several structural models of P-gp complexes with ligands bound. Hypothetically, ligands differentially alter the conformational dynamics of peptide segments that mediate the coupling between the drug binding sites and the NBDs. Here, we explore by hydrogen-deuterium exchange mass spectrometry the dynamic consequences of a classic substrate and inhibitor, vinblastine and zosuquidar, binding to mouse P-gp (mdr1a) in lipid nanodiscs. The dynamics of P-gp in nucleotide-free, pre-hydrolysis, and post-hydrolysis states in the presence of each drug reveal distinct mechanisms of ATPase stimulation and implications for transport. For both drugs, there are common regions affected in a similar manner, suggesting that particular networks are the key to stimulating ATP hydrolysis. However, drug binding effects diverge in the post-hydrolysis state, particularly in the intracellular helices (ICHs 3 and 4) and neighboring transmembrane helices. The local dynamics and conformational equilibria in this region are critical for the coupling of drug binding and ATP hydrolysis and are differentially modulated in the catalytic cycle.

Computational Modeling of Molecular Structures Guided by Hydrogen-Exchange Data

Data produced by hydrogen-exchange monitoring experiments have been used in structural studies of molecules for several decades. Despite uncertainties about the structural determinants of hydrogen exchange itself, such data have successfully helped guide the structural modeling of challenging molecular systems, such as membrane proteins or large macromolecular complexes. As hydrogen-exchange monitoring provides information on the dynamics of molecules in solution, it can complement other experimental techniques in so-called integrative modeling approaches. However, hydrogen-exchange data have often only been used to qualitatively assess molecular structures produced by computational modeling tools. In this paper, we look beyond qualitative approaches and survey the various paradigms under which hydrogen-exchange data have been used to quantitatively guide the computational modeling of molecular structures. Although numerous prediction models have been proposed to link molecular structure and hydrogen exchange, none of them has been widely accepted by the structural biology community. Here, we present as many hydrogen-exchange prediction models as we could find in the literature, with the aim of providing the first exhaustive list of its kind. From purely structure-based models to so-called fractional-population models or knowledge-based models, the field is quite vast. We aspire for this paper to become a resource for practitioners to gain a broader perspective on the field and guide research toward the definition of better prediction models. This will eventually improve synergies between hydrogen-exchange monitoring and molecular modeling.

Gaussian accelerated molecular dynamics (GaMD): principles and applications

Gaussian accelerated molecular dynamics (GaMD) is a robust computational method for simultaneous unconstrained enhanced sampling and free energy calculations of biomolecules. It works by adding a harmonic boost potential to smooth biomolecular potential energy surface and reduce energy barriers. GaMD greatly accelerates biomolecular simulations by orders of magnitude. Without the need to set predefined reaction coordinates or collective variables, GaMD provides unconstrained enhanced sampling and is advantageous for simulating complex biological processes. The GaMD boost potential exhibits a Gaussian distribution, thereby allowing for energetic reweighting via cumulant expansion to the second order (i.e., "Gaussian approximation"). This leads to accurate reconstruction of free energy landscapes of biomolecules. Hybrid schemes with other enhanced sampling methods, such as the replica exchange GaMD (rex-GaMD) and replica exchange umbrella sampling GaMD (GaREUS), have also been introduced, further improving sampling and free energy calculations. Recently, new "selective GaMD" algorithms including the ligand GaMD (LiGaMD) and peptide GaMD (Pep-GaMD) enabled microsecond simulations to capture repetitive dissociation and binding of small-molecule ligands and highly flexible peptides. The simulations then allowed highly efficient quantitative characterization of the ligand/peptide binding thermodynamics and kinetics. Taken together, GaMD and its innovative variants are applicable to simulate a wide variety of biomolecular dynamics, including protein folding, conformational changes and allostery, ligand binding, peptide binding, protein-protein/nucleic acid/carbohydrate interactions, and carbohydrate/nucleic acid interactions. In this review, we present principles of the GaMD algorithms and recent applications in biomolecular simulations and drug design.

Combining Small-Molecule Bioconjugation and Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS) to Expose Allostery: the Case of Human Cytochrome P450 3A4

We report a novel approach to study allostery which combines the use of carefully selected bioconjugates and hydrogen-deuterium exchange mass spectrometry (HDX-MS). This strategy avoids issues related to weak substrate binding and ligand relocalization. The utility of our method is demonstrated using human cytochrome P450 3A4 (CYP3A4), the most important drug-metabolizing enzyme. Allosteric activation and inhibition of CYP3A4 by pharmaceuticals is an important mechanism of drug interactions. We performed HDX-MS analysis on several CYP3A4-effector bioconjugates, some of which mimic the allosteric effect of positive effectors, while others show activity enhancement even though the label does not occupy the allosteric pocket (agonistic) or do not show activation while still blocking the allosteric site (antagonistic). This allowed us to better define the position of the allosteric site, the protein structural dynamics associated with allosteric activation, and the presence of coexisting conformers.