A ubiquitous property of bacteria is their ability to move toward more suitable environments, which can also facilitate host-associated activities like colonization and offer the cell several benefits such as bacteria moving towards a favorable gradient or away from a harmful gradient is known as chemotaxis. Bacteria achieve this by rotating flagella in clockwise and anticlockwise directions resulting in "run" and "tumble." This ability of bacteria to sense and respond to any type of change in the environmental factors like pH, osmolarity, redox potential, and temperature is a standard signal transduction system that depends on coupling proteins, which is the bacterial chemotaxis system. There are two architectures for the coupling proteins in the chemotaxis system: CheW and CheV. Typically, a signal transduction system for chemotaxis to form a core signaling complex couples CheA activity to chemoreceptor control: two CheW coupling protein molecules span a histidine kinase CheA dimer and two chemoreceptors (also known as methyl-accepting chemotaxis protein, MCP) trimers of dimers which further transfer the signal to the flagellar motor through CheY. The current review summarizes and highlights the molecular mechanism involved in bacterial chemotaxis, its physiological benefits such as locating suitable nutrients and niches for bacterial growth, and various assay techniques used for the detection of chemotactic motility.

• Keywords
• Bacteria, Chemotaxis, Motility, Run, Tumble,
• Publication type
• Journal Article MeSH
• Review MeSH

Cellular homeostasis depends on the rapid, ATP-independent translocation of newly synthesized lipids across the endoplasmic reticulum (ER) membrane. Lipid translocation is facilitated by membrane proteins known as scramblases, a few of which have recently been identified in the ER. Our previous structure of the translocon-associated protein (TRAP) bound to the Sec61 translocation channel revealed local membrane thinning, suggesting that the Sec61/TRAP complex might be involved in lipid scrambling. Using complementary fluorescence spectroscopy assays, we detected nonselective scrambling by reconstituted translocon complexes. This activity was unaffected by Sec61 inhibitors that block its lateral gate, suggesting a second lipid scrambling pathway within the complex. Molecular dynamics simulations indicate that the trimeric TRAP subunit forms this alternative route, facilitating lipid translocation via a "credit card" mechanism, using a crevice lined with polar residues to shield lipid head groups from the hydrophobic membrane interior. Kinetic and thermodynamic analyses confirmed that local membrane thinning enhances scrambling efficiency and that both Sec61 and TRAP scramble phosphatidylcholine faster than phosphatidylethanolamine and phosphatidylserine, reflecting the intrinsic lipid flip-flop tendencies of these lipid species. As the Sec61 scrambling site lies in the lateral gate region, it is likely inaccessible during protein translocation, in line with our experiments on Sec61-inhibited samples. Hence, our findings suggest that the metazoan-specific trimeric TRAP bundle is a viable candidate for lipid scrambling activity that is insensitive to the functional state of the translocon.

• MeSH
• Endoplasmic Reticulum metabolism   MeSH
• Humans MeSH
• Membrane Proteins * metabolism   chemistry   MeSH
• Molecular Dynamics Simulation MeSH
• SEC Translocation Channels metabolism   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• Membrane Proteins * MeSH
• SEC Translocation Channels MeSH

Integral membrane proteins carry out essential functions in the cell, and their activities are often modulated by specific protein-lipid interactions in the membrane. Here, we elucidate the intricate role of cardiolipin (CDL), a regulatory lipid, as a stabilizer of membrane proteins and their complexes. Using the in silico-designed model protein TMHC4_R (ROCKET) as a scaffold, we employ a combination of molecular dynamics simulations and native mass spectrometry to explore the protein features that facilitate preferential lipid interactions and mediate stabilization. We find that the spatial arrangement of positively charged residues as well as local conformational flexibility are factors that distinguish stabilizing from non-stabilizing CDL interactions. However, we also find that even in this controlled, artificial system, a clear-cut distinction between binding and stabilization is difficult to attain, revealing that overlapping lipid contacts can partially compensate for the effects of binding site mutations. Extending our insights to naturally occurring proteins, we identify a stabilizing CDL site within the E. coli rhomboid intramembrane protease GlpG and uncover its regulatory influence on enzyme substrate preference. In this work, we establish a framework for engineering functional lipid interactions, paving the way for the design of proteins with membrane-specific properties or functions.

• Keywords
• E. coli, lipid binding, mass spectrometry, membrane protein, molecular biophysics, structural biology,
• MeSH
• Endopeptidases metabolism   chemistry   genetics   MeSH
• Escherichia coli metabolism   genetics   MeSH
• Cardiolipins * metabolism   chemistry   MeSH
• Membrane Proteins * metabolism   chemistry   genetics   MeSH
• Protein Engineering * MeSH
• Escherichia coli Proteins * metabolism   chemistry   genetics   MeSH
• Molecular Dynamics Simulation MeSH
• Protein Binding MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• DNA-Binding Proteins MeSH
• Endopeptidases MeSH
• GlpG protein, E coli MeSH Browser
• Cardiolipins * MeSH
• Membrane Proteins * MeSH
• Escherichia coli Proteins * MeSH

Lipid-mediated delivery of active pharmaceutical ingredients (API) opened new possibilities in advanced therapies. By encapsulating an API into a lipid nanocarrier (LNC), one can safely deliver APIs not soluble in water, those with otherwise strong adverse effects, or very fragile ones such as nucleic acids. However, for the rational design of LNCs, a detailed understanding of the composition-structure-function relationships is missing. This review presents currently available computational methods for LNC investigation, screening, and design. The state-of-the-art physics-based approaches are described, with the focus on molecular dynamics simulations in all-atom and coarse-grained resolution. Their strengths and weaknesses are discussed, highlighting the aspects necessary for obtaining reliable results in the simulations. Furthermore, a machine learning, i.e., data-based learning, approach to the design of lipid-mediated API delivery is introduced. The data produced by the experimental and theoretical approaches provide valuable insights. Processing these data can help optimize the design of LNCs for better performance. In the final section of this Review, state-of-the-art of computer simulations of LNCs are reviewed, specifically addressing the compatibility of experimental and computational insights.

• Keywords
• ionizable lipid, lipid nanocarrier, lipid nanoparticle, liposome, molecular simulation, vesicle,
• MeSH
• Pharmaceutical Preparations chemistry   administration & dosage   MeSH
• Drug Delivery Systems * methods   MeSH
• Humans MeSH
• Lipids * chemistry   MeSH
• Nanoparticles chemistry   MeSH
• Drug Carriers * chemistry   MeSH
• Computer Simulation MeSH
• Molecular Dynamics Simulation MeSH
• Machine Learning MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH
• Names of Substances
• Pharmaceutical Preparations MeSH
• Lipids * MeSH
• Drug Carriers * MeSH

Understanding the molecular mechanisms of pore formation is crucial for elucidating fundamental biological processes and developing therapeutic strategies, such as the design of drug delivery systems and antimicrobial agents. Although experimental methods can provide valuable information, they often lack the temporal and spatial resolution necessary to fully capture the dynamic stages of pore formation. In this study, we present two novel collective variables (CVs) designed to characterize membrane pore behavior, particularly its energetics, through molecular dynamics (MD) simulations. The first CV─termed Full-Path─effectively tracks both the nucleation and expansion phases of pore formation. The second CV─called Rapid─is tailored to accurately assess pore expansion in the limit of large pores, providing quick and reliable method for evaluating membrane line tension under various conditions. Our results clearly demonstrate that the line tension predictions from both our CVs are in excellent agreement. Moreover, these predictions align qualitatively with available experimental data. Specifically, they reflect higher line tension of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) membranes containing 1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-l-serine (POPS) lipids compared to pure POPC, the decrease in line tension of POPC vesicles as the 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoglycerol (POPG) content increases, and higher line tension when ionic concentration is increased. Notably, these experimental trends are accurately captured only by the all-atom CHARMM36 and prosECCo75 force fields. In contrast, the all-atom Slipids force field, along with the coarse-grained Martini 2.2, Martini 2.2 polarizable, and Martini 3 models, show varying degrees of agreement with experiments. Our developed CVs can be adapted to various MD simulation engines for studying pore formation, with potential implications in membrane biophysics. They are also applicable to simulations involving external agents, offering an efficient alternative to existing methodologies.

• MeSH
• Cell Membrane * chemistry   metabolism   MeSH
• Phosphatidylcholines chemistry   MeSH
• Lipid Bilayers * chemistry   MeSH
• Porosity MeSH
• Molecular Dynamics Simulation * MeSH
• Thermodynamics * MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• 1-palmitoyl-2-oleoylphosphatidylcholine MeSH Browser
• Phosphatidylcholines MeSH
• Lipid Bilayers * MeSH

Homeostasis of cellular membranes is maintained by fine-tuning their lipid composition. Yeast lipid transporter Osh6, belonging to the oxysterol-binding protein-related proteins family, was found to participate in the transport of phosphatidylserine (PS). PS synthesized in the endoplasmic reticulum is delivered to the plasma membrane, where it is exchanged for phosphatidylinositol 4-phosphate (PI4P). PI4P provides the driving force for the directed PS transport against its concentration gradient. In this study, we employed an in vitro approach to reconstitute the transport process into the minimalistic system of large unilamellar vesicles to reveal its fundamental biophysical determinants. Our study draws a comprehensive portrait of the interplay between the structure and dynamics of Osh6, the carried cargo lipid, and the physical properties of the involved membranes, with particular attention to the presence of charged lipids and to membrane fluidity. Specifically, we address the role of the cargo lipid, which, by occupying the transporter, imposes changes in its dynamics and, consequently, predisposes the cargo to disembark in the correct target membrane.

• MeSH
• Biological Transport MeSH
• Cell Membrane * metabolism   MeSH
• Membrane Fluidity MeSH
• Phosphatidylinositol Phosphates metabolism   MeSH
• Phosphatidylserines metabolism   MeSH
• Oxysterol Binding Proteins MeSH
• Saccharomyces cerevisiae Proteins * metabolism   genetics   MeSH
• Saccharomyces cerevisiae metabolism   MeSH
• Receptors, Steroid metabolism   MeSH
• Unilamellar Liposomes metabolism   MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• Phosphatidylinositol Phosphates MeSH
• Phosphatidylserines MeSH
• phosphatidylinositol 4-phosphate MeSH Browser
• Oxysterol Binding Proteins MeSH
• Saccharomyces cerevisiae Proteins * MeSH
• Receptors, Steroid MeSH
• Unilamellar Liposomes MeSH

The intrinsically disordered carboxy-terminal domain (CTD) of the largest subunit of RNA Polymerase II (RNAPII) consists of multiple tandem repeats of the consensus heptapeptide Y1-S2-P3-T4-S5-P6-S7. The CTD promotes liquid-liquid phase-separation (LLPS) of RNAPII in vivo. However, understanding the role of the conserved heptad residues in LLPS is hampered by the lack of direct biochemical characterization of the CTD. Here, we generated a systematic array of CTD variants to unravel the sequence-encoded molecular grammar underlying the LLPS of the human CTD. Using in vitro experiments and molecular dynamics simulations, we report that the aromaticity of tyrosine and cis-trans isomerization of prolines govern CTD phase-separation. The cis conformation of prolines and β-turns in the SPXX motif contribute to a more compact CTD ensemble, enhancing interactions among CTD residues. We further demonstrate that prolines and tyrosine in the CTD consensus sequence are required for phosphorylation by Cyclin-dependent kinase 7 (CDK7). Under phase-separation conditions, CDK7 associates with the surface of the CTD droplets, drastically accelerating phosphorylation and promoting the release of hyperphosphorylated CTD from the droplets. Our results highlight the importance of conformationally restricted local structures within spacer regions, separating uniformly spaced tyrosine stickers of the CTD heptads, which are required for CTD phase-separation.

• MeSH
• Cyclin-Dependent Kinases * metabolism   chemistry   MeSH
• Phosphorylation MeSH
• Cyclin-Dependent Kinase-Activating Kinase * MeSH
• Humans MeSH
• Proline metabolism   chemistry   MeSH
• Protein Domains MeSH
• RNA Polymerase II * metabolism   chemistry   MeSH
• Amino Acid Sequence MeSH
• Molecular Dynamics Simulation * MeSH
• Tyrosine metabolism   chemistry   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• CDK7 protein, human MeSH Browser
• Cyclin-Dependent Kinases * MeSH
• Cyclin-Dependent Kinase-Activating Kinase * MeSH
• Proline MeSH
• RNA Polymerase II * MeSH
• Tyrosine MeSH

Despite ongoing research on antimicrobial peptides (AMPs) and cell-penetrating peptides (CPPs), their precise translocation mechanism remains elusive. This includes Buforin 2 (BF2), a well-known AMP, for which spontaneous translocation across the membrane has been proposed but a high barrier has been calculated. Here, we used computer simulations to investigate the effect of a nonequilibrium situation where the peptides are adsorbed on one side of the lipid bilayer, mimicking experimental conditions. We demonstrated that the asymmetric membrane adsorption of BF2 enhances its translocation across the lipid bilayer by lowering the energy barrier by tens of kJ mol-1. We showed that asymmetric membrane adsorption also reduced the free energy barrier of lipid flip-flop but remained unlikely even at BF2 surface saturation. These results provide insight into the driving forces behind membrane translocation of cell-penetrating peptides in nonequilibrium conditions, mimicking experiments.

• MeSH
• Adsorption MeSH
• Antimicrobial Peptides chemistry   pharmacology   MeSH
• Cell Membrane metabolism   chemistry   MeSH
• Antimicrobial Cationic Peptides chemistry   pharmacology   metabolism   MeSH
• Lipid Bilayers * chemistry   metabolism   MeSH
• Cell-Penetrating Peptides chemistry   metabolism   MeSH
• Proteins MeSH
• Molecular Dynamics Simulation MeSH
• Thermodynamics MeSH
• Terpenes chemistry   pharmacology   MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• Antimicrobial Peptides MeSH
• buforin II MeSH Browser
• Antimicrobial Cationic Peptides MeSH
• Lipid Bilayers * MeSH
• Cell-Penetrating Peptides MeSH
• Proteins MeSH
• Terpenes MeSH

In the last quarter-century, the field of molecular dynamics (MD) has undergone a remarkable transformation, propelled by substantial enhancements in software, hardware, and underlying methodologies. In this Perspective, we contemplate the future trajectory of MD simulations and their possible look at the year 2050. We spotlight the pivotal role of artificial intelligence (AI) in shaping the future of MD and the broader field of computational physical chemistry. We outline critical strategies and initiatives that are essential for the seamless integration of such technologies. Our discussion delves into topics like multiscale modeling, adept management of ever-increasing data deluge, the establishment of centralized simulation databases, and the autonomous refinement, cross-validation, and self-expansion of these repositories. The successful implementation of these advancements requires scientific transparency, a cautiously optimistic approach to interpreting AI-driven simulations and their analysis, and a mindset that prioritizes knowledge-motivated research alongside AI-enhanced big data exploration. While history reminds us that the trajectory of technological progress can be unpredictable, this Perspective offers guidance on preparedness and proactive measures, aiming to steer future advancements in the most beneficial and successful direction.

• Publication type
• Journal Article MeSH
• Review MeSH

Scramblases play a pivotal role in facilitating bidirectional lipid transport across cell membranes, thereby influencing lipid metabolism, membrane homeostasis, and cellular signaling. MTCH2, a mitochondrial outer membrane protein insertase, has a membrane-spanning hydrophilic groove resembling those that form the lipid transit pathway in known scramblases. Employing both coarse-grained and atomistic molecular dynamics simulations, we show that MTCH2 significantly reduces the free energy barrier for lipid movement along the groove and therefore can indeed function as a scramblase. Notably, the scrambling rate of MTCH2 in silico is similar to that of voltage-dependent anion channel (VDAC), a recently discovered scramblase of the outer mitochondrial membrane, suggesting a potential complementary physiological role for these mitochondrial proteins. Finally, our findings suggest that other insertases which possess a hydrophilic path across the membrane like MTCH2, can also function as scramblases.

• Keywords
• flip-flop rate, free energy barrier, hydrophilic groove, insertase, membrane defect, molecular dynamics, scramblase,
• MeSH
• Cell Membrane metabolism   MeSH
• Lipids * MeSH
• Molecular Dynamics Simulation * MeSH
• Publication type
• Journal Article MeSH
• Names of Substances
• Lipids * MeSH