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bioRxiv2023

Pattern formation by bacteria-phage interactions

The interactions between bacteria and phages--viruses that infect bacteria--play critical roles in agriculture, ecology, and medicine; however, how these interactions influence the spatial organization of both bacteria and phages remain largely unexplored. Here, we address this gap in knowledge by developing a theoretical model of motile, proliferating bacteria that aggregate via motility-induced phase separation (MIPS) and encounter phage that infect and lyse the cells. We find that the non-reciprocal predator-prey interactions between phage and bacteria strongly alter spatial organization, in some cases giving rise to a rich array of finite-scale stationary and dynamic patterns in which bacteria and phage coexist. We establish principles describing the onset and characteristics of these diverse behaviors, thereby helping to provide a biophysical basis for understanding pattern formation in bacteria-phage systems, as well as in a broader range of active and living systems with similar predator-prey or other non-reciprocal interactions.

biophysics↗

bioRxiv2023

Mapping Structural Distribution and Gating-Property Impacts of Disease-Associated Missense Mutations in Voltage-Gated Sodium Channels

Thousands of voltage-gated sodium (Nav) channel variants contribute to a variety of disorders, including epilepsy, autism, cardiac arrhythmia, and pain disorders. Yet variant effects of more mutations remain unclear. The conventional gain-of-function (GoF) or loss-of-function (LoF) classifications is frequently employed to interpret of variant effects on function and guide precision therapy for sodium channelopathies. Our study challenges this binary classification by analyzing 525 mutations associated with 34 diseases across 366 electrophysiology studies, revealing that diseases with similar phenotypic effects can stem from unique molecular mechanisms. Our results show a high biophysical agreement (86%) between homologous disease-associated variants in different Nav genes, significantly surpassing the 60% phenotype (GoFo/LoFo) agreement among homologous mutants, suggesting the need for more nuanced disease categorization and treatment based on specific gating-property changes. Using UniProt data, we mapped over 2,400 disease-associated missense variants across nine human Nav channels and identified three clusters of mutation hotspots. Our findings indicate that mutations near the selectivity filter generally diminish the maximal current amplitude, while those in the fast inactivation region lean towards a depolarizing shift in half-inactivation voltage in steady-state activation, and mutations in the activation gate commonly enhance persistent current. In contrast to mutations in the PD, those within the VSD exhibit diverse impacts and subtle preferences on channel activity. This study shows great potential to enhance prediction accuracy for variant effects based on the structural context, laying the groundwork for targeted drug design in precision medicine.

biophysics↗

bioRxiv2023

MolPhase: An Advanced Phase Separation Predictor and an Investigation of Phytobacterial Effector in Plant

We introduce MolPhase (http://molphase.sbs.ntu.edu.sg/), an advanced protein phase separation (PS) prediction algorithm that improves accuracy and reliability by utilizing diverse physicochemical features and extensive experimental datasets. MolPhase applies a user-friendly interface to compare distinct biophysical features side-by-side along protein sequences. By additional comparison with structural predictions, MolPhase enables efficient predictions of new phase-separating proteins and guides hypothesis generation and experimental design. Key contributing factors underlying MolPhase include pi-pi interaction, disorder, and prion-like domain. As an example, MolPhase finds that phytobacterial type III effectors (T3Es) are highly prone to homotypic PS, which was experimentally validated in vitro biochemically and in vivo in plants, mimicking their injection and accumulation in the host during microbial infection. In addition, the phase-separation of T3Es were evolved both in vivo and in vitro, suggesting their determinative scaffolding function, though there is a difference in material properties, implying a difference in homotypic and heterotypic macromolecular condensation. Robust integration of MolPhases effective prediction and experimental validation exhibit the potential to evaluate and explore how biomolecule PS functions in biological systems.

biophysics↗

bioRxiv2023

Hydrophobic Clusters Direct Folding of a Synthetic Chimeric Protein

Extant proteins frequently share sub-domain sized fragments, suggesting that among other mechanisms, proteins evolved new structure and functions via recombination of existing fragments. While the role of protein fragments as evolutionary units is well-established, their biophysical features necessary for generating a well-folded and stable protein are not clearly understood. In order to probe how fragments determine foldability and stability of recombined proteins, we investigated the stability, folding and dynamics of a synthetic chimera created by fusion of fragments of the chemotactic response regulator protein CheY that belongs to the flavodoxin-like fold and imidazole glycerol phosphate synthase from histidine biosynthesis (HisF) which harbors the TIM-barrel fold. The chimera unfolds via an equilibrium intermediate. Mutation of a glycine residue present at the interface of the CheY and HisF fragments to a valine abrogates the equilibrium intermediate while mutation to isoleucine dramatically increases the native state kinetic stability without any significant change in the folding rate. Parts of the fragment interface in the chimera are found to be conformationally dynamic while hydrophobic mutations globally increase its conformational rigidity. We hypothesize that the hydrophobic mutation improves sidechain packing in a large cluster of isoleucine, leucine and valine (ILV) residues that spans the fragment interface. We also extrapolate that inheritance of large ILV clusters from parent proteins could be a key determinant of successful fragment recombination.

biophysics↗

bioRxiv2023

Synthesis, Insertion and Characterization of SARS-CoV-2 Membrane Protein Within Lipid Bilayers

SUMMARY/ABSTRACTThe membrane protein (M) is the most abundant structural protein in the SARS-CoV-2 virus and functions exclusively as a membrane-embedded homodimer. M protein is required for the formation of the SARS-CoV-2 virus particle and has been shown to interact with the Spike and Envelope proteins, as well as the RNA-packaging Nucleocapsid protein. Our knowledge of M protein is very limited due to its small size and challenges in expressing enough protein for use in structural and biophysical experiments. We report the successful development of a SUMO tag-based expression system to produce and purify significant quantities of M protein, and a method to insert the synthesized dimers into a suspended lipid membrane in a homogeneous orientation. We used AFM and Cryo-EM to image individual membrane-bound M protein dimers and characterize the configurations that they can assume. Our experimental results are in agreement with our molecular dynamics simulations which predict thinning of the membrane around the M protein and a propensity to induce local membrane curvature. Taken together, our results shed new light on M protein properties within the lipid bilayer and suggest mechanisms that could contribute to viral assembly and budding.

biophysics↗

bioRxiv2023

Structural basis for CFTR inhibition by CFTRinh-172

The cystic fibrosis transmembrane conductance regulator (CFTR) is an anion channel that regulates electrolyte and fluid balance in epithelial tissues. Whereas activation of CFTR is vital to treating cystic fibrosis, selective inhibition of CFTR is a potential therapeutic strategy for secretory diarrhea and autosomal dominant polycystic kidney disease (ADPKD). Although several CFTR inhibitors have been developed by high-throughput screening, their modes of action remain elusive. In this study, we determined the structure of CFTR in complex with the inhibitor CFTRinh- 172 to 2.7 [A] resolution by cryogenic electron microscopy (cryo-EM). We observe that CFTRinh- 172 binds inside the pore near transmembrane helix 8 (TM8), a critical structural element that links ATP hydrolysis with channel gating. Binding of CFTRinh-172 stabilizes a conformation in which the chloride selectivity filter is collapsed and the pore is blocked from the extracellular side of the membrane. Single molecule fluorescence resonance energy transfer (smFRET) experiments indicate that CFTRinh-172 inhibits channel gating without compromising nucleotide-binding domain (NBD) dimerization. Together, these data show that CFTRinh-172 acts as both a pore blocker and a gating modulator, setting it apart from typical ion channel inhibitors. The dual functionality of CFTRinh-172 reconciles previous biophysical observations and provides a molecular basis for its activity. Significance statementThe pathogenesis of secretory diarrhea and autosomal dominant polycystic kidney disease involves hyperactivation of the CFTR ion channel. CFTR inhibitors, including the small-molecule CFTRinh-172, have been developed as therapeutic candidates to treat these diseases. This study offers a structural understanding of CFTRinh-172s mode of action, clarifying its dual inhibitory role as both a pore blocker and gating modulator. The molecular description of how CFTRinh-172 interacts with CFTR provides a structural foundation to its specificity and efficacy. Furthermore, the observation that CFTR inhibitors and potentiators both interact with TM8 strengthens the notion that this helix serves as an allosteric link between the ATPase site and the channel gate, and is therefore a hotspot for pharmacological modulation.

biophysics↗

bioRxiv2023

Multi-pass, single-molecule nanopore reading of long protein strands with single-amino acid sensitivity

The ability to sequence single protein molecules in their native, full-length form would enable a more comprehensive understanding of proteomic diversity. Current technologies, however, are limited in achieving this goal. Here, we establish a method for long-range, single-molecule reading of intact protein strands on a commercial nanopore sensor array. By using the ClpX unfoldase to ratchet proteins through a CsgG nanopore, we achieve single-amino acid level sensitivity, enabling sequencing of combinations of amino acid substitutions across long protein strands. For greater sequencing accuracy, we demonstrate the ability to reread individual protein molecules, spanning hundreds of amino acids in length, multiple times, and explore the potential for high accuracy protein barcode sequencing. Further, we develop a biophysical model that can simulate raw nanopore signals a priori, based on amino acid volume and charge, enhancing the interpretation of raw signal data. Finally, we apply these methods to examine intact, folded protein domains for complete end-to-end analysis. These results provide proof-of-concept for a platform that has the potential to identify and characterize full-length proteoforms at single-molecule resolution.

biophysics↗

bioRxiv2023

Synergistic phenotypic shifts during domestication promote plankton-to-biofilm transition in purple sulfur bacterium Chromatium okenii

The ability to isolate microorganisms from natural environments to pure cultures under optimized laboratory settings has markedly improved our understanding of microbial ecology. Laboratory-induced artificial growth conditions often diverge from those in natural ecosystems, forcing wild isolates into selective pressures which are distinct compared to those in nature. Consequently, fresh isolates undergo diverse eco-physiological adaptations mediated by modification of key phenotypic traits. For motile microorganisms, we still lack a biophysical understanding of the relevant traits which emerge during domestication, and possible mechanistic interrelations between them which could ultimately drive short-to-long term microbial adaptation under laboratory conditions. Here, using microfluidics, atomic force microscopy (AFM), quantitative imaging, and mathematical modelling, we study phenotypic adaptation of natural isolates of Chromatium okenii, a motile phototrophic purple sulfur bacterium (PSB) common to meromictic settings, grown under ecologically-relevant laboratory conditions over multiple generations. Our results indicate that the naturally planktonic C. okenii populations leverage synergistic shifts in cell-surface adhesive interactions, together with changes in their cell morphology, mass density, and distribution of intracellular sulfur globules, to supress their swimming traits, ultimately switching to a sessile lifeform under laboratory conditions. A computational model of cell mechanics confirms the role of the synergistic phenotypic shifts in suppressing the planktonic lifeform. Over longer domestication periods ([~]10 generations), the switch from planktonic to sessile lifeform is driven by loss of flagella and enhanced adhesion. By investigating key phenotypic traits across different physiological stages of lab-grown C. okenii, we uncover a progressive loss of motility via synergistic phenotypic shifts during the early stages of domestication, which is followed by concomitant deflagellation and enhanced surface attachment that ultimately drive the transition of motile sulphur bacteria to a sessile biofilm state. Our results establish a mechanistic link between suppression of motility and surface attachment via synergistic phenotypic changes, underscoring the emergence of adaptive fitness under felicitous laboratory conditions that comes at a cost of lost ecophysiological traits tailored for natural environments. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=85 SRC="FIGDIR/small/563228v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@fcb6b0org.highwire.dtl.DTLVardef@13e18d0org.highwire.dtl.DTLVardef@1cf3ee6org.highwire.dtl.DTLVardef@12a837b_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2023

A possible mechanistic insight on how Compromised Hydrolysis of Triacylglycerol 7 (CHT7) restrains the involvement of it's DNA binding CXC domain from quiescence repression

CHT7 is a regulator of quiescence repression and TAG degradation between the nitrogen deprived and the nitrogen replenished states in Chlamydomonas reinhardtii. Initially it was thought that the CHT7s repression activity is managed by its DNA binding CXC domain which is a tandem repeat of two cysteine rich subdomains. Later, it was found that the CXC (CHT7_CXC) domain is effectively dispensable for CHT7s activities. Rather, CHT7s predicted protein binding domains are proposed to be involved in gene regulation activities by binding through other repressors in the cell. Yet, it remains unclear why and how CHT7 manages to refrain its own CXC domain from participating in any transcriptional activities. The question becomes more intriguing, because CXC binding regions are available in promoter regions of some of the misregulated genes in the CHT7 mutant (cht7). Through the combination of biophysical experiments and molecular dynamics approaches, we have studied the DNA recognition behavior of CHT7_CXC. The results show that CHT7_CXC domain is highly selective towards DNA sequences and this selectivity is imparted due to the differential binding abilities of the CXC subdomains. Further, to understand if the case is - that CXC looses its DNA binding capabilities in the vicinity of other repressor molecules, we carried out CHT7_CXCs DNA binding stability test by simulating the spatial constraint conditions using the AsLOV2- CXC fusion. Our test results show limited ability of CHT7_CXC to withstand steric forces and provide insights to why and how algal cells may hold back CHT7_CXCs indulgence in quiescence repression. SignificanceMicroalgae, under nutrient rich conditions, provide biomass. Whereas, nutrient deprivation leads to accumulation of biofuel feedstock, but cells enter quiescence. Net enhancement in feedstock, therefore relies on the precision of the quiescence regulator. In Chlamydomonas reinhardtii, CHT7 is a central regulator of quiescence. Surprisingly, rather than using its own DNA binding domain (DBD) for the regulatory activities, CHT7 recruits external transcriptional regulators using its non DBDs. To ensure smooth functioning, CHT7s DBD must rapidly switch to inactive form. Modifications in DNA binding profiles of DBDs due to non DBDs are seen in transcription factors of many organisms. The switching mechanism discussed could therefore be a generic approach of timely regulation of individual components of the complex transcriptional machineries.

biophysics↗

bioRxiv2023

Interfacial morphodynamics of proliferating microbial communities

In microbial communities, various cell types often coexist by occupying distinct spatial domains. What determines the shape of the interface between such domains--which in turn influences the interactions between cells and overall community function? Here, we address this question by developing a continuum model of a 2D spatially-structured microbial community with two distinct cell types. We find that, depending on the balance of the different cell proliferation rates and substrate friction coefficients, the interface between domains is either stable and smooth, or unstable and develops finger-like protrusions. We establish quantitative principles describing when these different interfacial behaviors arise, and find good agreement both with the results of previous experimental reports as well as new experiments performed here. Our work thus helps to provide a biophysical basis for understanding the interfacial morphodynamics of proliferating microbial communities, as well as a broader range of proliferating active systems.

biophysics↗

bioRxiv2023

The genetic architecture of protein stability

There are more ways to synthesize a 100 amino acid protein (20100) than atoms in the universe. Only a miniscule fraction of such a vast sequence space can ever be experimentally or computationally surveyed. Deep neural networks are increasingly being used to navigate high-dimensional sequence spaces. However, these models are extremely complicated and provide little insight into the fundamental genetic architecture of proteins. Here, by experimentally exploring sequence spaces >1010, we show that the genetic architecture of at least some proteins is remarkably simple, allowing accurate genetic prediction in high-dimensional sequence spaces with fully interpretable biophysical models. These models capture the non-linear relationships between free energies and phenotypes but otherwise consist of additive free energy changes with a small contribution from pairwise energetic couplings. These energetic couplings are sparse and caused by structural contacts and backbone propagations. Our results suggest that artificial intelligence models may be vastly more complicated than the proteins that they are modeling and that protein genetics is actually both simple and intelligible.

biophysics↗

bioRxiv2023

ADP release can explain spatially-dependent kinesin binding times

The self-organization of cells relies on the profound complexity of protein-protein interactions. Challenges in directly observing these events have hindered progress toward understanding their diverse behaviors. One notable example is the interaction between molecular motors and cytoskeletal systems that combine to perform a variety of cellular functions. In this work, we leverage theory and experiments to identify and quantify the rate-limiting mechanism of the initial association between a cargo-bound kinesin motor and a microtubule track. Recent advances in optical tweezers provide binding times for several lengths of kinesin motors trapped at varying distances from a microtubule, empowering the investigation of competing models. We first explore a diffusion-limited model of binding. Through Brownian dynamics simulations and simulation-based inference, we find this simple diffusion model fails to explain the experimental binding times, but an extended model that accounts for the ADP state of the molecular motor agrees closely with the data, even under the scrutiny of penalizing for additional model complexity. We provide quantification of both kinetic rates and biophysical parameters underlying the proposed binding process. Our model suggests that most but not every motor binding event is limited by their ADP state. Lastly, we predict how these association rates can be modulated in distinct ways through variation of environmental concentrations and spatial distances. Significance StatementCytoskeletal-motor assemblies self-organize to achieve cellular functions ranging from delivering intracellular cargoes to generating forces in mitosis. Advancements in single-molecule experiments have revealed immense detail about motor detachment and stepping, but relatively little regarding the attachment process. With newly available spatially parameterized motor binding times from an optical trap, the evaluation of mechanistic models for binding becomes possible. We find that a model limited by both diffusive search and ADP-release best explains the data. The coupled chemo-mechanical nature of this interaction is more malleable than either separately, possibly explaining the rich diversity and regulation observed in cells. More broadly, our study provides a timely vignette on leveraging computations with experiments to understand how geometry and other complexities shape protein-protein interactions.

biophysics↗

bioRxiv2023

Correlative single molecule lattice light sheet imaging reveals the dynamic relationship between nucleosomes and the local chromatin environment

In the nucleus, biological processes are driven by proteins that diffuse through and bind to a meshwork of nucleic acid polymers. To better understand this interplay, we developed an imaging platform to simultaneously visualize single protein dynamics together with the local chromatin environment in live cells. Together with super-resolution imaging, new fluorescent probes, and biophysical modeling, we demonstrated that nucleosomes display differential diffusion and packing arrangements as chromatin density increases whereas the viscoelastic properties and accessibility of the interchromatin space remain constant. Perturbing nuclear functions impacted nucleosome diffusive properties in a manner that was dependent on local chromatin density and supportive of a model wherein transcription locally stabilizes nucleosomes while simultaneously allowing for the free exchange of nuclear proteins. Our results reveal that nuclear heterogeneity arises from both active and passive process and highlights the need to account for different organizational principals when modeling different chromatin environments.

biophysics↗

bioRxiv2023

Fusion dynamics and size-dependent droplet microstructure in ssDNA mediated protein phase separation

Biomolecular cocondensation involving proteins and nucleic acids has been recognized to play crucial roles in genome organization and transcriptional regulation. However, the biophysical mechanisms underlying the fusion dynamics and microstructure evolution of the droplets during the early stage of liquid-liquid phase separation (LLPS) remain elusive. In this work, we study the phase separation of linker histone H1, which is among the most abundant chromatin proteins, in the presence of single-stranded DNA (ssDNA) capable of forming G-quadruplex structures by using residue-resolved molecular dynamics simulations. Firstly, we uncovered a kinetic bottleneck step in the droplet fusion. Productive fusion events are triggered by the formation of ssDNA mediated electrostatic bridge within the contacting zone of two droplets. Secondly, the simulations revealed a size-dependence of the droplet microstructure and stoichiometry. With droplet growth, its microstructure evolves as driven by the maximization of the electrostatic contacts between ssDNA and the highly charged segment of H1. Finally, we showed that the folding of ssDNA to G-quadruplex promotes LLPS by increasing the multivalency and strength of protein-DNA interactions. These findings provided new mechanistic insights into the microstructure and growth dynamics of the biomolecular droplets formed during the early stage of the ssDNA-protein cocondensation.

biophysics↗

bioRxiv2023

High-throughput thermodynamic and kinetic measurements of transcription factor/DNA mutations reveal how conformational heterogeneity can shape motif selectivity

Transcription factors (TFs) bind DNA sequences with a range of affinities, yet the mechanisms determining energetic differences between high- and low-affinity sequences ( selectivity) remain poorly understood. Here, we investigated two basic helix-loop-helix TFs, MAX (H. sapiens) and Pho4 (S. cerevisiae), that bind the same high-affinity sequence with highly similar nucleotide-contacting residues and bound structures but are differentially selective for non-cognate sequences. By measuring >1700 Kds and >500 rate constants for Pho4 and MAX mutant libraries binding multiple DNA sequences and comparing these measurements with thermodynamic and kinetic models, we identify the biophysical mechanisms by which changes to TF sequence alter both bound and unbound conformational ensembles to shape specificity landscapes. These results highlight the importance of conformational heterogeneity in determining sequence specificity and selectivity and can guide future efforts to engineer nucleic acid-binding proteins with enhanced selectivity.

biophysics↗

bioRxiv2023

YAP localization mediates mechanical adaptation of human cancer cells during extravasation in vivo

Biophysical profiling of primary tumors has revealed that individual tumor cells fall along a highly heterogeneous continuum of mechanical phenotypes. One idea is that a subset of tumor cells is "softer" to facilitate detachment and escape from the primary site, a step required to initiate metastasis. However, it has also been postulated that cells must be able to deform and generate sufficient force to exit into distant sites. Here, we aimed to dissect the mechanical changes that occur during extravasation and organ colonization. Using multiplexed methods of intravital microscopy and optical tweezer based active microrheology, we obtained longitudinal images and mechanical profiles of cells during organ colonization in vivo. We determined that cells were softer, more liquid like upon exit of the vasculature but stiffened and became more solid like once in the new organ microenvironment. We also determined that a YAP mediated mechanogenotype influenced the global dissemination in our in vivo and in vitro models and that reducing mechanical heterogeneity could reduce extravasation. Moreover, our high throughput analysis of mechanical phenotypes of patient samples revealed that this mechanics was in part regulated by the external hydrodynamic forces that the cancer cells experienced within capillary mimetics. Our findings indicate that disseminated cancer cells can keep mutating with a continuum landscape of mechano-phenotypes, governed by the YAP-mediated mechanosensing of hydrodynamic flow.

biophysics↗

bioRxiv2023

DNA Origami Lipid Membrane Interactions Defined at Single-Molecular Resolution

Rigid DNA nanostructures that bind to floppy bilayer membranes are of fundamental interest as they replicate biological cytoskeletons for synthetic biology, biosensing, and biological research. Here, we establish principles underpinning the controlled interaction of DNA structures and lipid bilayers. As membrane anchors mediate interaction, more than 20 versions of a core DNA nanostructure are built each carrying up to five individual cholesterol anchors of different steric accessibility within the 3D geometry. The structures binding to membrane vesicles of tunable curvature is determined with ensemble methods and by single-molecule localization microscopy. This screen yields quantitative and unexpected insight on which steric anchor points cause efficient binding. Strikingly, defined nanostructures with a single molecular anchor discriminate effectively between vesicles of different nanoscale curvatures which may be exploited to discern diagnostically relevant membrane vesicles based on size. Furthermore, we reveal anchor-mediated bilayer interaction to be co-controlled by non-lipidated DNA regions and localized membrane curvatures stemming from heterogenous lipid composition, which modifies existing biophysical models. Our study extends DNA nanotechnology to control interactions with bilayer membranes and thereby facilitate the design of nanodevices for vesicle-based diagnostics, biosensing, and protocells.

biophysics↗

bioRxiv2023

Electronic Polarizability Tunes the Function of the Human Bestrophin 1 Cl- Channel

Mechanisms of anion permeation within ion channels and nanopores remain poorly understood. Recent cryo-electron microscopy structures of the human bestrophin 1 Cl- channel (hBest1) provide an opportunity to evaluate ion interactions predicted by molecular dynamics (MD) simulations against experimental observations. Here, we implement the fully polarizable forcefield AMOEBA in MD simulations on different conformations of hBest1. This forcefield models multipole moments up to the quadrupole; therefore, it captures induced dipole and anion-{pi} interactions. We show that key biophysical properties of the channel can only be simulated when electronic polarization is included in the molecular models and that Cl- permeation through the neck of the pore is achieved through hydrophobic solvation concomitant with partial ion dehydration. Furthermore, we demonstrate how such polarizable simulations can help determine the identity of ion-like densities within high-resolution cryo-EM structures and that neglecting polarization places Cl- at positions that do not correspond with their experimentally resolved location. Overall, our results demonstrate the importance of including electronic polarization in realistic and physically accurate models of biological systems, especially channels and pores that selectively permeate anions. Statement of SignificanceIon channels are nanoscale protein pores that enable the selective passage of charged ions across cell membranes. Understanding the underlying mechanisms for selective anion permeation through such pores remains a challenge. To simulate their behavior efficiently in silico, fixed charge models are typically employed. However, this approach is insufficient for the study of anions. Here, we use simulations with explicit treatment of electrostatics to investigate the interactions of chloride ions in the human bestrophin 1 channel. We find that electronic polarization tunes the state of the channel and affects the interactions of chloride ions thereby revealing a mechanism for permeation. Furthermore, these simulations can be used to resolve experimental ambiguity in ion-like densities from cryo-EM structures.

biophysics↗