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The orientation of integral membrane proteins (IMPs) with respect to the membrane is established during protein synthesis and insertion into the membrane. After synthesis, IMP orientation is thought to be fixed due to the thermodynamic barrier for “flipping” protein loops or helices across the hydrophobic core of the membrane in a process analogous to lipid flip-flop. A notable exception is EmrE, a homodimeric IMP with an N-terminal transmembrane helix that can flip across the membrane until flipping is arrested upon dimerization. Understanding the features of the EmrE sequence that permit this unusual flipping behavior would be valuable for guiding the design of synthetic materials capable of translocating or flipping charged groups across lipid membranes. To elucidate the molecular mechanisms underlying flipping in EmrE and derive bioinspired design rules, we employ atomistic molecular dynamics simulations and enhanced sampling techniques to systematically investigate the flipping of truncated segments of EmrE. Our results demonstrate that a membrane-exposed charged glutamate residue at the center of the N-terminal helix lowers the energetic barrier for flipping (from ~12.1 kcal mol-1 to ~5.4 kcal mol-1) by stabilizing water defects and minimizing membrane perturbation. Comparative analysis reveals that the marginal hydrophobicity of this helix, rather than the marginal hydrophilicity of its loop, is the key determinant of flipping propensity. Our results further indicate that interhelical hydrogen bonding upon dimerization inhibits flipping. These findings establish several bioinspired design principles to govern flipping in related materials: (1) marginally hydrophobic helices with membrane-exposed charged groups promote flipping, (2) modulating protonation states of membrane-exposed groups tunes flipping efficiency, and (3) interhelical hydrogen bonding can be leveraged to arrest flipping. These insights provide a foundation for engineering synthetic peptides, engineered proteins, and biomimetic nanomaterials with controlled flipping or translocation behavior for applications in intracellular drug delivery and membrane protein design. 

The hydrophobicity of an interface determines the magnitude of hydrophobic interactions that drive numerous biological and industrial processes. Chemically heterogeneous interfaces are abundant in these contexts; examples include the surfaces of proteins, functionalized nanomaterials, and polymeric materials. While the hydrophobicity of nonpolar solutes can be predicted and related to the structure of interfacial water molecules, predicting the hydrophobicity of chemically heterogeneous interfaces remains a challenge because of the complex, non-additive contributions to hydrophobicity that depend on the chemical identity and nanoscale spatial arrangements of polar and nonpolar groups. In this work, we utilize atomistic molecular dynamics simulations in conjunction with enhanced sampling and data-centric analysis techniques to quantitatively relate changes in interfacial water structure to the hydration free energy (a thermodynamically well-defined descriptor of hydrophobicity) of chemically heterogeneous interfaces. We analyze a large data set of 58 self-assembled monolayers (SAMs) composed of ligands with nonpolar and polar end groups of different chemical identity (amine, amide, and hydroxyl) in five mole fractions, two spatial patterns, and with scaled partial charges. We find that only five features of interfacial water structure are required to accurately predict hydration free energies. Examination of these features reveals mechanistic insights into the interfacial hydrogen bonding behaviors that distinguish different surface compositions and patterns. This analysis also identifies the probability of highly coordinated water structures as a unique signature of hydrophobicity. These insights provide a physical basis to understand the hydrophobicity of chemically heterogeneous interfaces and connect hydrophobicity to experimentally accessible perturbations of interfacial water structure. 

The majority of bioactive molecules act on membrane proteins or intracellular targets and therefore needs to partition into or cross biological membranes. Natural products often exhibit lipid modifications to facilitate critical molecule–membrane interactions, and in many cases their bioactivity is markedly reduced upon removal of a lipid group. However, despite its importance in nature, lipid-conjugation of small molecules is not commonly used in chemical biology and medicinal chemistry, and the effect of such conjugation has not been systematically studied. To understand the composition of lipids found in natural products, we carried out a chemoinformatic characterization of the “natural product lipidome”. According to this analysis, lipidated natural products predominantly contain saturated medium-chain lipids (MCLs), which are significantly shorter than the long-chain lipids (LCLs) found in membranes and lipidated proteins. To study the usefulness of such modifications in probe design, we systematically explored the effect of lipid conjugation on five different small molecule chemotypes and find that permeability, cellular retention, subcellular localization, and bioactivity can be significantly modulated depending on the type of lipid tail used. We demonstrate that MCL conjugation can render molecules cell-permeable and modulate their bioactivity. With all explored chemotypes, MCL-conjugates consistently exhibited superior uptake or bioactivity compared to LCL-conjugates and either comparable or superior uptake or bioactivity to short-chain lipid (SCL)-conjugates. Together, our findings suggest that conjugation of small molecules with MCLs could be a powerful strategy for the design of probes and drugs. 

Quorum sensing (QS) is a bacterial communication process mediated by both native and non-native small-molecule quorum sensing modulators (QSMs), many of which have been synthesized to disrupt QS pathways. While structure-activity relationships have been developed to relate QSM structure to the activation or inhibition of QS receptors, less is known about the transport mechanisms that enable QSMs to cross the lipid membrane and access intracellular receptors. In this study, we used atomistic MD simulations and an implicit solvent model, called COSMOmic, to analyze the partitioning and translocation of QSMs across lipid bilayers. We performed umbrella sampling at atomistic resolution to calculate partitioning and translocation free energies for a set of naturally occurring QSMs, then used COSMOmic to screen the water-membrane partition and translocation free energies for 50 native and non-native QSMs that target LasR, one of the LuxR family of quorum-sensing receptors. This screening procedure revealed the influence of systematic changes to head and tail group structures on membrane partitioning and translocation free energies at a significantly reduced computational cost compared to atomistic MD simulations. Comparisons with previously determined QSM activities suggest that QSMs that are least likely to partition into the bilayer are also less active. This work thus demonstrates the ability of the computational protocol to interrogate QSM-bilayer interactions which may help guide the design of new QSMs with engineered membrane interactions.