Category: Publications

Published 9 October 2020 in The Journal of Chemical Physics (doi 10.1063/5.0020974):

Network analysis reveals how lipids and other cofactors influence membrane protein allostery

Annie M Westerlund, Oliver Fleetwood, Sergio Pérez-Conesa, Lucie Delemotte

Many membrane proteins are modulated by external stimuli, such as small molecule binding or change in pH, transmembrane voltage, or temperature. This modulation typically occurs at sites that are structurally distant from the functional site. Revealing the communication, known as allostery, between these two sites is key to understanding the mechanistic details of these proteins. Residue interaction networks of isolated proteins are commonly used to this end. Membrane proteins, however, are embedded in a lipid bilayer, which may contribute to allosteric communication. The fast diffusion of lipids hinders direct use of standard residue interaction networks. Here, we present an extension that includes cofactors such as lipids and small molecules in the network. The novel framework is applied to three membrane proteins: a voltage-gated ion channel (KCNQ1), a G-protein coupled receptor (GPCR—β2 adrenergic receptor), and a pH-gated ion channel (KcsA). Through systematic analysis of the obtained networks and their components, we demonstrate the importance of lipids for membrane protein allostery. Finally, we reveal how small molecules may stabilize different protein states by allosterically coupling and decoupling the protein from the membrane.

Read the full publication here.

Published 5 October 2020 in The Journal of Chemical Physics (doi 10.1063/5.0018516):

Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS

Szilárd Páll, Artem Zhmurov, Paul Bauer, Mark Abraham, Magnus Lundborg, Alan Gray, Berk Hess, Erik Lindahl

The introduction of accelerator devices such as graphics processing units (GPUs) has had profound impact on molecular dynamics simulations and has enabled order-of-magnitude performance advances using commodity hardware. To fully reap these benefits, it has been necessary to reformulate some of the most fundamental algorithms, including the Verlet list, pair searching, and cutoffs. Here, we present the heterogeneous parallelization and acceleration design of molecular dynamics implemented in the GROMACS codebase over the last decade. The setup involves a general cluster-based approach to pair lists and non-bonded pair interactions that utilizes both GPU and central processing unit (CPU) single instruction, multiple data acceleration efficiently, including the ability to load-balance tasks between CPUs and GPUs. The algorithm work efficiency is tuned for each type of hardware, and to use accelerators more efficiently, we introduce dual pair lists with rolling pruning updates. Combined with new direct GPU–GPU communication and GPU integration, this enables excellent performance from single GPU simulations through strong scaling across multiple GPUs and efficient multi-node parallelization.

Read the full publication here.

Published 16 September 2020 in Nature Communications (doi 10.1038/s41467-020-18401-z):

Arrangement and symmetry of the fungal E3BP-containing core of the pyruvate dehydrogenase complex

Björn O Forsberg, Shintaro Aibara, Rebecca J Howard, Narges Mortezaei, Erik Lindahl

The pyruvate dehydrogenase complex (PDC) is a multienzyme complex central to aerobic respiration, connecting glycolysis to mitochondrial oxidation of pyruvate. Similar to the E3-binding protein (E3BP) of mammalian PDC, PX selectively recruits E3 to the fungal PDC, but its divergent sequence suggests a distinct structural mechanism. Here, we report reconstructions of PDC from the filamentous fungus Neurospora crassa by cryo-electron microscopy, where we find protein X (PX) interior to the PDC core as opposed to substituting E2 core subunits as in mammals. Steric occlusion limits PX binding, resulting in predominantly tetrahedral symmetry, explaining previous observations in Saccharomyces cerevisiae. The PX-binding site is conserved in (and specific to) fungi, and complements possible C-terminal binding motifs in PX that are absent in mammalian E3BP. Consideration of multiple symmetries thus reveals a differential structural basis for E3BP-like function in fungal PDC.

Read the full publication here.

Published 2 September 2020 in Nature (doi 10.1038/s41586-020-2654-5):

Shared structural mechanisms of general anaesthetics and benzodiazepines

Jeong Joo Kim, Anant Gharpure, Jinfeng Teng, Yuxuan Zhuang, Rebecca J Howard, Shaotong Zhu, Colleen M Noviello, Richard M Walsh Jr, Erik Lindahl, Ryan E Hibbs

Most general anaesthetics and classical benzodiazepine drugs act through positive modulation of γ-aminobutyric acid type A (GABA_A) receptors to dampen neuronal activity in the brain. However, direct structural information on the mechanisms of general anaesthetics at their physiological receptor sites is lacking. Here we present cryo-electron microscopy structures of GABA_A receptors bound to intravenous anaesthetics, benzodiazepines and inhibitory modulators. These structures were solved in a lipidic environment and are complemented by electrophysiology and molecular dynamics simulations. Structures of GABA_A receptors in complex with the anaesthetics phenobarbital, etomidate and propofol reveal both distinct and common transmembrane binding sites, which are shared in part by the benzodiazepine drug diazepam. Structures in which GABA_A receptors are bound by benzodiazepine-site ligands identify an additional membrane binding site for diazepam and suggest an allosteric mechanism for anaesthetic reversal by flumazenil. This study provides a foundation for understanding how pharmacologically diverse and clinically essential drugs act through overlapping and distinct mechanisms to potentiate inhibitory signalling in the brain.

Read the full publication here.

Published 7 July 2020 in Biophysical Journal (v. 119 pp. 190–205):

Pulsed electric fields can create pores in the voltage sensors of voltage-gated ion channels

Lea Rems, Marina A Kasimova, Ilaria Testa, Lucie Delemotte

Pulsed electric fields are increasingly used in medicine to transiently increase the cell membrane permeability via electroporation to deliver therapeutic molecules into the cell. One type of event that contributes to this increase in membrane permeability is the formation of pores in the membrane lipid bilayer. However, electrophysiological measurements suggest that membrane proteins are affected as well, particularly voltage-gated ion channels (VGICs). The molecular mechanisms by which the electric field could affects these molecules remain unidentified. In this study, we used molecular dynamics simulations to unravel the molecular events that take place in different VGICs when exposing them to electric fields mimicking electroporation conditions. We show that electric fields can induce pores in the voltage-sensor domains (VSDs) of different VGICs and that these pores form more easily in some channels than in others. We demonstrate that poration is more likely in VSDs that are more hydrated and are electrostatically more favorable for the entry of ions. We further show that pores in VSDs can expand into so-called complex pores, which become stabilized by lipid headgroups. Our results suggest that such complex pores are considerably more stable than conventional lipid pores, and their formation can lead to severe unfolding of VSDs from the channel. We anticipate that such VSDs become dysfunctional and unable to respond to changes in transmembrane voltage, which is in agreement with previous electrophysiological measurements showing a decrease in the voltage-dependent transmembrane ionic currents after pulse treatment. Finally, we discuss the possibility of activation of VGICs by submicrosecond-duration pulses. Overall, our study reveals a new, to our knowledge, mechanism of electroporation through membranes containing VGICs.

Read the full publication here.

Published 29 June 2020 in Physical Review Fluids (v. 5 p. 064203):

Electrowetting diminishes contact line friction in molecular wetting

Petter Johansson, Berk Hess

We use large-scale molecular dynamics to study the dynamics at the three-phase contact line in electrowetting of water and electrolytes on no-slip substrates. Under the applied electrostatic potential the line friction at the contact line is diminished. The effect is consistent for droplets of different sizes as well as for both pure water and electrolyte solution droplets. We analyze the electric field at the contact line to show how it assists ions and dipolar molecules to advance the contact line. Without an electric field, the interaction between a substrate and a liquid has a very short range, mostly affecting the bottom, immobilized layer of liquid molecules which leads to high friction since mobile molecules are not pulled towards the surface. In electrowetting, the electric field attracts charged and polar molecules over a longer range, which diminishes the friction.

Read the full publication here.

Published 16 June 2020 in Proceedings of the National Academy of Sciences of the USA (v. 117 pp. 13437–13446):

Structural basis for allosteric transitions of a multidomain pentameric ligand-gated ion channel

Haidai Hu, Rebecca J Howard, Ugo Bastolla, Erik Lindahl, Marc Delarue

Pentameric ligand-gated ion channels (pLGICs) are allosteric receptors that mediate rapid electrochemical signal transduction in the animal nervous system through the opening of an ion pore upon binding of neurotransmitters. Orthologs have been found and characterized in prokaryotes and they display highly similar structure–function relationships to eukaryotic pLGICs; however, they often encode greater architectural diversity involving additional amino-terminal domains (NTDs). Here we report structural, functional, and normal-mode analysis of two conformational states of a multidomain pLGIC, called DeCLIC, from a Desulfofustis deltaproteobacterium, including a periplasmic NTD fused to the conventional ligand-binding domain (LBD). X-ray structure determination revealed an NTD consisting of two jelly-roll domains interacting across each subunit interface. Binding of Ca²⁺ at the LBD subunit interface was associated with a closed transmembrane pore, with resolved monovalent cations intracellular to the hydrophobic gate. Accordingly, DeCLIC-injected oocytes conducted currents only upon depletion of extracellular Ca²⁺; these were insensitive to quaternary ammonium block. Furthermore, DeCLIC crystallized in the absence of Ca²⁺ with a wide-open pore and remodeled periplasmic domains, including increased contacts between the NTD and classic LBD agonist-binding sites. Functional, structural, and dynamical properties of DeCLIC paralleled those of sTeLIC, a pLGIC from another symbiotic prokaryote. Based on these DeCLIC structures, we would reclassify the previous structure of bacterial ELIC (the first high-resolution structure of a pLGIC) as a “locally closed” conformation. Taken together, structures of DeCLIC in multiple conformations illustrate dramatic conformational state transitions and diverse regulatory mechanisms available to ion channels in pLGICs, particularly involving Ca²⁺ modulation and periplasmic NTDs.

Read the full publication here.

Published 7 February 2020 in Biochemistry (v. 59 pp. 880–891):

Energy landscapes reveal agonist control of G protein-coupled receptor activation via microswitches

Oliver Fleetwood, Pierre Matricon, Jens Carlsson, Lucie Delemotte

Agonist binding to G protein-coupled receptors (GPCRs) leads to conformational changes in the transmembrane region that activate cytosolic signaling pathways. Although high-resolution structures of different receptor states are available, atomistic details of allosteric signaling across the membrane remain elusive. We calculated free energy landscapes of β2 adrenergic receptor activation using atomistic molecular dynamics simulations in an optimized string of swarms framework, which shed new light on how microswitches govern the equilibrium between conformational states. Contraction of the extracellular binding site in the presence of the agonist BI-167107 is obligatorily coupled to conformational changes in a connector motif located in the core of the transmembrane region. The connector is probabilistically coupled to the conformation of the intracellular region. An active connector promotes desolvation of a buried cavity, a twist of the conserved NPxxY motif, and an interaction between two conserved tyrosines in transmembrane helices 5 and 7 (Y–Y motif), which lead to a larger population of active-like states at the G protein binding site. This coupling is augmented by protonation of the strongly conserved Asp792.50. The agonist binding site hence communicates with the intracellular region via a cascade of locally connected microswitches. Characterization of these can be used to understand how ligands stabilize distinct receptor states and contribute to development drugs with specific signaling properties. The developed simulation protocol can likely be transferred to other class A GPCRs.

Read the full publication here.

Published 4 February 2020 in Biophysical Journal (v. 118 pp. 765-780):

Molecular insights from conformational ensembles via machine learning

Oliver Fleetwood, Marina A Kasimova, Annie M Westerlund, Lucie Delemotte

Biomolecular simulations are intrinsically high dimensional and generate noisy data sets of ever-increasing size. Extracting important features from the data is crucial for understanding the biophysical properties of molecular processes, but remains a big challenge. Machine learning (ML) provides powerful dimensionality reduction tools. However, such methods are often criticized as resembling black boxes with limited human-interpretable insight. We use methods from supervised and unsupervised ML to efficiently create interpretable maps of important features from molecular simulations. We benchmark the performance of several methods, including neural networks, random forests, and principal component analysis, using a toy model with properties reminiscent of macromolecular behavior. We then analyze three diverse biological processes: conformational changes within the soluble protein calmodulin, ligand binding to a G protein-coupled receptor, and activation of an ion channel voltage-sensor domain, unraveling features critical for signal transduction, ligand binding, and voltage sensing. This work demonstrates the usefulness of ML in understanding biomolecular states and demystifying complex simulations.

Read the full publication here.

Released 27 November 2019 in eLife (v. 8 art. e53400):

Helix breaking transition in the S4 of HCN channel is critical for hyperpolarization-dependent gating

Marina A Kasimova, Debanjan Tewari, John B Cowgill, Willy Carrasquel Ursuleaz, Jenna L Lin, Lucie Delemotte, Baron Chanda

In contrast to most voltage-gated ion channels, hyperpolarization- and cAMP gated (HCN) ion channels open on hyperpolarization. Structure-function studies show that the voltage-sensor of HCN channels are unique but the mechanisms that determine gating polarity remain poorly understood. All-atom molecular dynamics simulations (~20 μs) of HCN1 channel under hyperpolarization reveals an initial downward movement of the S4 voltage-sensor but following the transfer of last gating charge, the S4 breaks into two sub-helices with the lower sub-helix becoming parallel to the membrane. Functional studies on bipolar channels show that the gating polarity strongly correlates with helical turn propensity of the substituents at the breakpoint. Remarkably, in a proto-HCN background, the replacement of breakpoint serine with a bulky hydrophobic amino acid is sufficient to completely flip the gating polarity from inward to outward-rectifying. Our studies reveal an unexpected mechanism of inward rectification involving a linker sub-helix emerging from HCN S4 during hyperpolarization.

Read the full publication here.

From the October 2019 issue of Journal of Chemical Theory & Computation (v. 15 pp. 6752–6759):

InfleCS: clustering free energy landscapes with Gaussian mixtures

Annie M. Westerlund, Lucie Delemotte

Free energy landscapes provide insights into conformational ensembles of biomolecules. In order to analyze these landscapes and elucidate mechanisms underlying conformational changes, there is a need to extract metastable states with limited noise. This has remained a formidable task, despite a plethora of existing clustering methods. We present InfleCS, a novel method for extracting well-defined core states from free energy landscapes. The method is based on a Gaussian mixture free energy estimator and exploits the shape of the estimated density landscape. The core states that naturally arise from the clustering allow for detailed characterization of the conformational ensemble. The clustering quality is evaluated on three toy models with different properties, where the method is shown to consistently outperform other conventional and state-of-the-art clustering methods. Finally, the method is applied to a temperature enhanced molecular dynamics simulation of Ca2+ -bound Calmodulin. Through the free energy landscape, we discover a pathway between a canonical and a compact state, revealing conformational changes driven by electrostatic interactions.

Read the full publication here.

Published 17 September 2019 in the Journal of Chemical Information and Modeling (v. 59 pp. 4093–4099):

Sharing data from molecular simulations

Mark Abraham, Rossen Apostolov, Jonathan Barnoud, Paul Bauer, Christian Blau, Alexandre MJJ Bonvin, Matthieu Chavent, John Chodera, Karmen Čondić-Jurkić, Lucie Delemotte, Helmut Grubmüller, Rebecca J Howard, E Joseph Jordan, Erik Lindahl, OH Samuli Ollila, Jana Selent, Daniel GA Smith, Phillip J Stansfeld, Johanna KS Tiemann, Mikael Trellet, Christopher Woods, Artem Zhmurov

Given the need for modern researchers to produce open, reproducible scientific output, the lack of standards and best practices for sharing data and workflows used to produce and analyze molecular dynamics (MD) simulations has become an important issue in the field. There are now multiple well-established packages to perform molecular dynamics simulations, often highly tuned for exploiting specific classes of hardware, each with strong communities surrounding them, but with very limited interoperability/transferability options. Thus, the choice of the software package often dictates the workflow for both simulation production and analysis. The level of detail in documenting the workflows and analysis code varies greatly in published work, hindering reproducibility of the reported results and the ability for other researchers to build on these studies. An increasing number of researchers are motivated to make their data available, but many challenges remain in order to effectively share and reuse simulation data. To discuss these and other issues related to best practices in the field in general, we organized a workshop in November 2018. Here, we present a brief overview of this workshop and topics discussed. We hope this effort will spark further conversation in the MD community to pave the way toward more open, interoperable, and reproducible outputs coming from research studies using MD simulations.

Read the full publication here.

For the November 2019 issue of Neuron (v. 104 pp. 501–511.e6):

Agonist selectivity and ion permeation in the α3β4 ganglionic nicotinic receptor

Anant Gharpure, Jinfeng Teng, Yuxuan Zhuang, Colleen M. Noviello, Richard M. Walsh Jr., Rico Cabuco, Rebecca J. Howard, Nurulain T. Zaveri, Erik Lindahl, Ryan E. Hibbs

Nicotinic acetylcholine receptors are pentameric ion channels that mediate fast chemical neurotransmission. The α3β4 nicotinic receptor subtype forms the principal relay between the central and peripheral nervous systems in the autonomic ganglia. This receptor is also expressed focally in brain areas that affect reward circuits and addiction. Here, we present structures of the α3β4 nicotinic receptor in lipidic and detergent environments, using functional reconstitution to define lipids appropriate for structural analysis. The structures of the receptor in complex with nicotine, as well as the α3β4-selective ligand AT-1001, complemented by molecular dynamics, suggest principles of agonist selectivity. The structures further reveal much of the architecture of the intracellular domain, where mutagenesis experiments and simulations define residues governing ion conductance.

Read the full publication here.

From the June 2019 issue of Nature Structural & Molecular Biology (v. 26 pp. 528–530):

Outlining the proton-conduction pathway in otopetrin channels

Lucie Delemotte

New structural work sheds light on the architecture of otopetrin channels, offering insights into the mechanisms for proton permeation in this family.

Read the full News & Views article here, referencing the publication Structures of the otopetrin proton channels Otop1 and Otop3 by Saotome & colleagues.

For the September 2019 issue of Bioinformatics (v. 35 pp. 3505–3507):

eBDIMS server: protein transition pathways with ensemble analysis in 2D-motion spaces

Laura Orellana, Johan Gustavsson, Cathrine Bergh, Ozge Yoluk, Erik Lindahl

Understanding how proteins transition between different conformers, and how conformers relate to each other in terms of structure and function, is not trivial. Here, we present an online tool for transition pathway generation between two protein conformations using Elastic Network Driven Brownian Dynamics Importance Sampling, a coarse-grained simulation algorithm, which spontaneously predicts transition intermediates trapped experimentally. In addition to path-generation, the server provides an interactive 2D-motion landscape graphical representation of the transitions or any additional conformers to explore their structural relationships.

Read the full publication here.

From the December 2018 release of Informatik Spektrum (v. 41 pp. 398–404):

e-Science in Scandinavia: The Case of the Swedish e-Science Research Center

Olivia Eriksson, Erwin Laure, Erik Lindahl, Dan Henningson & Anders Ynnerman

The Swedish e-Science Research Centre (SeRC) is based on a collaboration between four Swedish universities: The KTH Royal Institute of Technology (KTH), Stockholm University (SU), Karolinska Institutet (KI) and Linköping University (LiU). SeRC’s mission statement is to develop state-of-the-art eScience tools and provide e-infrastructure support to existing and emerging e-Science research communities to help bring about scientific breakthroughs in Sweden. SeRC was founded in 2010 as the result of the Strategic Research Area (SRA) initiative launched by the Swedish Government Bill on Research Policy in 2008, where a total of 24 different strategic research areas were defined – one of which was e-Science. Initially SeRC was granted funding for 5 years. During those first 5 years, SeRC built up an organization for e-Science research, which has been highly successful. This was reflected in the excellent grades that SeRC received when the SRAs in Sweden were evaluated in 2015, and the fact that after this, SeRC received funding for at least 5 more years. This new phase of SeRC partly focuses on activities relating to emerging technologies (such as exascale systems and data-driven science) while also consolidating SeRC’s ongoing efforts in working towards a long-lasting e-Science environment in Sweden.

Read the full publication here.

Accepted manuscript, posted ahead of online November 9, 2018 in eLife (v. 7 art. e42166):

New tools for automated high-resolution cryo-EM structure determination in RELION-3

Jasenko Zivanov, Takanori Nakane, Björn O Forsberg, Dari Kimanius, Wim JH Hagen, Erik Lindahl & Sjors HW Scheres

Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Laplacian-of-Gaussian filtering and execution of jobs from python allows non-interactive processing during acquisition, including 2D-classification, de novo model generation and 3D-classification. Per-particle refinement of CTF parameters and correction of estimated beam tilt provides higher-resolution reconstructions when particles are at different heights in the ice, and/or coma-free alignment has not been optimal. Ewald sphere curvature correction improves resolution for large particles. We illustrate these developments with publicly available data sets: together with a Bayesian approach to beam-induced motion correction it leads to resolution improvements of 0.2–0.7 Å compared to previous RELION versions.

Read the full publication here.

From the October 16, 2018 issue of Proceedings of the National Academy of Sciences of the USA (v. 115 pp. 10672–10677):

Allosteric potentiation of a ligand-gated ion channel is mediated by access to a deep membrane-facing cavity

Stephanie A Heusser, Marie Lycksell, Xueqing Wang, Sarah E McComas, Rebecca J Howard & Erik Lindahl

Molecular mechanisms of general anesthetic modulation in pentameric ligand-gated ion channels remain controversial. Here we present molecular simulations and functional data that reveal correlations between dynamic differences in a membrane-accessible cavity and dramatic anesthetic effects, separate inhibitory and potentiating effects within the same electrophysiology recordings, and support a model for communication between the lipid bilayer and ion channel pore. In particular, enhanced electrostatic interactions in the membrane-accessible site were associated with a unique mode of anesthetic potentiation, persisting tens of minutes after washout. These results offer a bridge between lipid- and receptor-based theories of anesthesia, with the potential to inform both mechanistic understanding and drug development.

Read the full publication here.

From the September 25, 2018 issue of Scientific Reports (v. 8 art. 14324):

Uptake dynamics in the Lactose permease (LacY) membrane protein transporter

Dari Kimanius, Erik Lindahl & Magnus Andersson

The sugar transporter Lactose permease (LacY) of Escherichia coli has become a prototype to understand the underlying molecular details of membrane transport. Crystal structures have trapped the protein in sugar-bound states facing the periplasm, but with narrow openings unable to accommodate sugar. Therefore, the molecular details of sugar uptake remain elusive. In this work, we have used extended simulations and metadynamics sampling to explore a putative sugar-uptake pathway and associated free energy landscape. We found an entrance at helix-pair 2 and 11, which involved lipid head groups and residues Gln 241 and Gln 359. Furthermore, the protein displayed high flexibility on the periplasmic side of Phe 27, which is located at the narrowest section of the pathway. Interactions to Phe 27 enabled passage into the binding site, which was associated with a 24 ± 4 kJ/mol binding free energy in excellent agreement with an independent binding free energy calculation and experimental data. Two free energy minima corresponding to the two possible binding poses of the lactose analog β-D-galactopyranosyl-1-thio-β-D-galactopyranoside (TDG) were aligned with the crystal structure-binding pocket. This work outlines the chemical environment of a putative periplasmic sugar pathway and paves way for understanding substrate affinity and specificity in LacY.

Corresponding author and former group member Magnus Andersson can now be reached at Umeå University. Read the full publication here.

Commentary for the October 1, 2018 issue of the Journal of General Physiology (v. 150 art. 1356):

Opening leads to closing: Allosteric crosstalk between the activation and inactivation gates in KcsA

Lucie Delemotte

Voltage-gated potassium (Kv) channels control a number of different physiological processes, including the firing rate in axons. Such K+ channels display a reduction of conductance after exposure to a prolonged activating stimulus. This process, referred to as inactivation, causes repolarization of the cell membrane after the depolarizing phase of an action potential. The transient openings that result from it also allow neurons to readily fire a new action potential. Two types of inactivation mechanisms have been described in Kv channels (Hoshi et al., 1990). Fast inactivation, also called N-type inactivation, results from a mechanism that has been ascribed to pore blocking by a N-terminal peptide. Slow inactivation, or C-type inactivation, is revealed upon suppression of fast inactivation and is thought to be due to a conformational change occurring within the pore of the channel. While the structural basis of C-type inactivation appears to have been established, how it is dynamically coupled to channel activation remains to be understood in detail. In the Journal of General Physiology, a new study (see Li et al. 2018) proposes an intriguing mechanism for the allosteric control of C-type inactivation by the activation gate in the bacterial K+ channel KcsA.

Read the full commentary here.

For the October 1, 2018 issue of the Journal of General Physiology (v. 150 art. 1444):

Determining the molecular basis of voltage sensitivity in membrane proteins

Marina A. Kasimova, Erik Lindahl & Lucie Delemotte

Voltage-sensitive membrane proteins are united by their ability to transform changes in membrane potential into mechanical work. They are responsible for a spectrum of physiological processes in living organisms, including electrical signaling and cell-cycle progression. Although the mechanism of voltage-sensing has been well characterized for some membrane proteins, including voltage-gated ion channels, even the location of the voltage-sensing elements remains unknown for others. Moreover, the detection of these elements by using experimental techniques is challenging because of the diversity of membrane proteins. Here, we provide a computational approach to predict voltage-sensing elements in any membrane protein, independent of its structure or function. It relies on an estimation of the propensity of a protein to respond to changes in membrane potential. We first show that this property correlates well with voltage sensitivity by applying our approach to a set of voltage-sensitive and voltage-insensitive membrane proteins. We further show that it correctly identifies authentic voltage-sensitive residues in the voltage-sensor domain of voltage-gated ion channels. Finally, we investigate six membrane proteins for which the voltage-sensing elements have not yet been characterized and identify residues and ions that might be involved in the response to voltage. The suggested approach is fast and simple and enables a characterization of voltage sensitivity that goes beyond mere identification of charges. We anticipate that its application before mutagenesis experiments will significantly reduce the number of potential voltage-sensitive elements to be tested.

Read the commentary in the same issue by Caitlin Sedwick, or see the paper here!

Featured on the August 2018 cover of Journal of Structural Biology (v. 203 pp. 149–161):

Human skin barrier structure and function analyzed by cryo-EM and molecular dynamics simulation

Magnus Lundborg, Ali Narangifard, Christian L Wennberg, Erik Lindahl, Bertil Daneholt & Lars Norlén

In the present study we have analyzed the molecular structure and function of the human skin’s permeability barrier using molecular dynamics simulation validated against cryo-electron microscopy data from near native skin.

The skin’s barrier capacity is located to an intercellular lipid structure embedding the cells of the superficial most layer of skin – the stratum corneum. According to the splayed bilayer model (Iwai et al., 2012) the lipid structure is organized as stacked bilayers of ceramides in a splayed chain conformation with cholesterol associated with the ceramide sphingoid moiety and free fatty acids associated with the ceramide fatty acid moiety. However, knowledge about the lipid structure’s detailed molecular organization, and the roles of its different lipid constituents, remains circumstantial.

Starting from a molecular dynamics model based on the splayed bilayer model, we have, by stepwise structural and compositional modifications, arrived at a thermodynamically stable molecular dynamics model expressing simulated electron microscopy patterns matching original cryo-electron microscopy patterns from skin extremely closely. Strikingly, the closer the individual molecular dynamics models’ lipid composition was to that reported in human stratum corneum, the better was the match between the models’ simulated electron microscopy patterns and the original cryo-electron microscopy patterns. Moreover, the closest-matching model’s calculated water permeability and thermotropic behaviour were found compatible with that of human skin.

The new model may facilitate more advanced physics-based skin permeability predictions of drugs and toxicants. The proposed procedure for molecular dynamics based analysis of cellular cryo-electron microscopy data might be applied to other biomolecular systems.

Read the full publication here.