A New Lipid Force Field (FUJI)

Mutational analysis in Corynebacterium stationis MFS transporters for improving nucleotide bioproduction

Product secretion from an engineered cell can be advantageous for microbial cell factories. Extensive work on nucleotide manufacturing, one of the most successful microbial fermentation processes, has enabled Corynebacterium stationis to transport nucleotides outside the cell by random mutagenesis; however, the underlying mechanism has not been elucidated, hindering its applications in transporter engineering. Herein, we report the nucleotide-exporting major facilitator superfamily (MFS) transporter from the C. stationis genome and its hyperactive mutation at the G64 residue. Structural estimation and molecular dynamics simulations suggested that the activity of this transporter improved via two mechanisms: (1) enhancing interactions between transmembrane helices through the conserved "RxxQG" motif along with substrate binding and (2) trapping substrate-interacting residue for easier release from the cavity. Our results provide novel insights into how MFS transporters change their conformation from inward- to outward-facing states upon substrate binding to facilitate efflux and can contribute to the development of rational design approaches for efflux improvements in microbial cell factories. KEYPOINTS: • An MFS transporter from C. stationis genome and its mutation at residue G64 were assessed • It enhanced the transporter activity by strengthening transmembrane helix interactions and trapped substrate-interacting residues • Our results contribute to rational design approach development for efflux improvement.

Towards de novo design of transmembrane α-helical assemblies using structural modelling and molecular dynamics simulation

Computational de novo protein design involves iterative processes consisting of amino acid sequence design, structural modelling and scoring, and design validation by synthesis and experimental characterisation. Recent advances in protein structure prediction and modelling methods have enabled the highly efficient and accurate design of water-soluble proteins. However, the design of membrane proteins remains a major challenge. To advance membrane protein design, considering the higher complexity of membrane protein folding, stability, and dynamic interactions between water, ions, lipids, and proteins is an important task. For introducing explicit solvents and membranes to these design methods, all-atom molecular dynamics (MD) simulations of designed proteins provide useful information that cannot be obtained experimentally. In this review, we first describe two major approaches to designing transmembrane α-helical assemblies, consensus and de novo design. We further illustrate recent MD studies of membrane protein folding related to protein design, as well as advanced treatments in molecular models and conformational sampling techniques in the simulations. Finally, we discuss the possibility to introduce MD simulations after the existing static modelling and screening of design decoys as an additional step for refinement of the design, which considers membrane protein folding dynamics and interactions with explicit membranes.

Unraveling membrane properties at the organelle-level with LipidDyn

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Lipidomics of organelles could be used to design models for molecular simulations.

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The bottleneck is the analysis and rationalization of the data from simulations.

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LipidDyn is an automated pipeline to streamline the analyses of lipid bilayers.

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LipidDyn allows to collect analysis in a non-time-consuming and reproducible manner.

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We applied LipidDyn to different case studies to illustrate its potential.

Cellular membranes are formed from different lipids in various amounts and proportions depending on the subcellular localization. The lipid composition of membranes is sensitive to changes in the cellular environment, and its alterations are linked to several diseases. Lipids not only form lipid-lipid interactions but also interact with other biomolecules, including proteins.

Molecular dynamics (MD) simulations are a powerful tool to study the properties of cellular membranes and membrane-protein interactions on different timescales and resolutions. Over the last few years, software and hardware for biomolecular simulations have been optimized to routinely run long simulations of large and complex biological systems. On the other hand, high-throughput techniques based on lipidomics provide accurate estimates of the composition of cellular membranes at the level of subcellular compartments. Lipidomic data can be analyzed to design biologically relevant models of membranes for MD simulations. Similar applications easily result in a massive amount of simulation data where the bottleneck becomes the analysis of the data. In this context, we developed LipidDyn, a Python-based pipeline to streamline the analyses of MD simulations of membranes of different compositions. Once the simulations are collected, LipidDyn provides average properties and time series for several membrane properties such as area per lipid, thickness, order parameters, diffusion motions, lipid density, and lipid enrichment/depletion. The calculations exploit parallelization, and the pipeline includes graphical outputs in a publication-ready form. We applied LipidDyn to different case studies to illustrate its potential, including membranes from cellular compartments and transmembrane protein domains. LipidDyn is available free of charge under the GNU General Public License from https://github.com/ELELAB/LipidDyn.

Engineered MATE multidrug transporters reveal two functionally distinct ion-coupling pathways in NorM from Vibrio cholerae

Multidrug and toxic compound extrusion (MATE) transport proteins confer multidrug resistance on pathogenic microorganisms and affect pharmacokinetics in mammals. Our understanding of how MATE transporters work, has mostly relied on protein structures and MD simulations. However, the energetics of drug transport has not been studied in detail. Many MATE transporters utilise the electrochemical H+ or Na+ gradient to drive substrate efflux, but NorM-VC from Vibrio cholerae can utilise both forms of metabolic energy. To dissect the localisation and organisation of H+ and Na+ translocation pathways in NorM-VC we engineered chimaeric proteins in which the N-lobe of H+-coupled NorM-PS from Pseudomonas stutzeri is fused to the C-lobe of NorM-VC, and vice versa. Our findings in drug binding and transport experiments with chimaeric, mutant and wildtype transporters highlight the versatile nature of energy coupling in NorM-VC, which enables adaptation to fluctuating salinity levels in the natural habitat of V. cholerae.