Biology subjects

Schwierz, N.

Publications and source records attributed to Schwierz, N..

16 recordsLinked to original sources

bioRxiv2026

Thermodynamic Model and Experiments Indicate Kinetically Trapped States in Ionisable Lipid Nanoparticles

Lipid nanoparticles (LNPs) are the leading delivery vehicles for RNA-based therapies, with pH-dependent mesophase transitions of their ionizable lipids proposed to play a crucial role in LNP function and endosomal escape. However, a consistent quantitative framework linking molecular lipid properties to the thermodynamics of these transitions is still lacking. Here, we establish such a framework by combining X-ray scattering, fluorescence spectroscopy, all-atom molecular dynamics simulations, and continuum modeling. Using small-angle X-ray scattering (SAXS) and Laurdan fluorescence spectroscopy, we characterize the pH- and temperature-dependent phase behavior of both bulk lipid systems and LNPs containing the ionisable lipids MC3 or ALC-0315. Laurdan fluorescence measurements reveal the same pH- and temperature-dependent transitions in bulk and LNP systems, which closely follow the inverse micellar (LII) - inverse hexagonal (HII) transitions identified by SAXS, establishing Laurdan as a reporter of these mesophase transitions in LNPs. We combine experimental and simulation data to parameterize a continuum model of the LII - HII transition, providing a quantitative description of mesophase stability. The model reveals that geometric frustration arising from packing constraints is a key determinant of mesophase stability. By combining experimental and simulation data with theoretical analysis, we determine the relevant membrane parameters, including mean and Gaussian curvature bending rigidities, and identify the parameter ranges that govern phase stability. Together, these results establish a quantitative continuum theory for pH-dependent mesophase transitions of ionisable lipid and suggest metastable states in response to pH changes as an inherent feature of LNP core phase.

biophysics↗

bioRxiv2026

Transferability of ion force fields to OPC water: Maintaining single-ion and ion-pairing properties

Accurate ion force fields are essential for molecular dynamics simulations of biomolecular systems, particularly in combination with modern water models such as OPC. While OPC water provides an accurate description of key water properties and has been successfully applied in biomolecular simulations, the transferability of existing ion force fields to this model remains an open question. Here, we systematically assess the transferability of monovalent and divalent ion force field parameters (Li+, Na+, K+, Cs+, Mg2+, Ca2+, Sr2+, Ba2+, Cl- and Br-) to OPC water by comparing single-ion and ion-pairing properties with experimental data. Our analysis reveals that no single literature parameter set provides accurate results for all ions when directly transferred to OPC water. We hence introduce the MS/G-LB(OPC) force field, which combines Mamatkulov-Schwierz-Grotz cation parameters with Loche-Bonthuis anion parameters. MS/G-LB(OPC) reproduces hydration free energies, first-shell structural properties and activity derivatives at low salt concentrations. Our results demonstrate that transferring ion parameters to OPC can lead to significant and ion-specific deviations from experimental data, making careful validation essential. At the same time, the systematic transfer and combination of ion parameters from existing force fields can provide a practical and computationally efficient alternative to full reparameterization. MS/G-LB(OPC) is available at https://git.rz.uni-augsburg.de/cbio-gitpub/opcion-force-fields.

biophysics↗

bioRxiv2025

RNA at Lipid/Water Interfaces: Molecular Insights from Coarse-Grained Simulations and Reflectivity Data Predictions

Interactions between RNA and lipids are fundamental for biological processes and are increasingly exploited for RNA delivery by lipid nanoparticles. However, RNA-lipid interactions remain challenging to characterize at the molecular level. Here, we address the modeling of RNA at lipid/water interfaces using coarse-grained (CG) simulations, experimental validation using scattering data and prediction of neutron (NR) and X-ray reflectivity (XRR) profiles from the simulations. Using neutral DOPC and cationic DOTAP bilayers, we show that lipid-RNA interactions depend strongly on RNA secondary structure, with single-stranded regions exhibiting higher interfacial affinity than double-stranded segments. We validate the CG lipid simulations, showing that while they reproduce experimental X-ray scattering data only qualitatively, the agreement improves markedly after backmap-ping to atomistic resolution followed by energy minimization and short all-atom molecular dynamics simulations. We further simulated distinct tRNA conformations and analyzed the influence of RNA secondary structure, concentration, solvent contrast, and lipid deuteration on NR and XRR signals identifying the conditions under which such experiments probe RNA adsorption and discriminate between different RNA conformations. Together, these results demonstrate that CG simulations combined with reflectivity data provide a powerful approach to probe RNA adsorption and structure at lipid/water interfaces and support the design and interpretation of scattering experiments. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/689668v2_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@9a1297org.highwire.dtl.DTLVardef@13aa90dorg.highwire.dtl.DTLVardef@30a68corg.highwire.dtl.DTLVardef@662aa_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2025

DNA Twist at High Alkaline Ion Concentrations: Evidence against C-Form DNA in Solution

DNA is highly negatively charged, making its structure strongly dependent on the ionic environment. DNA twist -a central DNA property- varies with ion concentration and identity. Prior studies have focused on salt concentrations below 1 M and it is unclear whether twist trends persist at higher concentrations. It has been proposed that at high salt, DNA transitions from its canonical B-form to C-form, originally observed by fiber diffraction. Here, we use single-molecule magnetic tweezers to measure DNA twist in high concentrations of LiCl, NaCl, KCl, and CsCl. For all salts, twist initially increases approximately as [~][salt]1/2, but plateaus above 3 M. LiCl causes the largest twist increase, by [≤] 0.8{degrees}/bp compared to physiological salt, still far below the suggested C-form values of 2-3{degrees}/bp. We perform all-atom molecular dynamics simulations for DNA in LiCl solutions with different force fields. For parmbsc1, we observe good agreement with experiments when ion activities are taken into account. We find that simulations initiated in the C-form rapidly convert to B-form, while the B-form remains stable. Our results demonstrate ion-specific, systematic changes in DNA twist beyond 1 M salt, but do not support a transition to the C-form for DNA, even at very high salt concentrations.

biophysics↗

bioRxiv2025

Structural Basis for OAS2 Regulation and its Antiviral Function

Oligoadenylate synthetase (OAS) proteins are immune sensors for double-stranded RNA and critical for restricting viruses. OAS2 comprises two OAS domains, only one of which can synthesize 2-5-oligoadenylates for RNase L activation. Existing structures of OAS1 provide a model for enzyme activation, but do not explain how multiple OAS domains discriminate RNA length. Here, we discover that OAS2 exists in an autoinhibited state as a zinc-mediated dimer and present a mechanism for RNA length discrimination: the catalytically deficient domain acts as a molecular ruler that prevents autoreactivity to short RNAs. We demonstrate that dimerization and myristoylation localize OAS2 to Golgi membranes and that this is required for OAS2 activation and restriction of viruses that exploit the endomembrane system for replication, e.g. coronaviruses. Finally, our results highlight the non-redundant role of OAS proteins and emphasize the clinical relevance of OAS2 by identifying a patient with a loss-of-function mutation leading to autoimmune disease.

biochemistry↗

bioRxiv2025

Buffer specificity of ionizable lipid nanoparticle transfection efficiency and bulk phase transition

Lipid nanoparticles (LNPs) are efficient and safe carriers for mRNA vaccines based on advanced ionizable lipids. It is understood that the pH dependent structural transition of the mesoscopic LNP core phase plays a key role in mRNA transfer. However, buffer specific variations in transfection efficiency remain obscure. Here we analyze the effect of buffer type on the structure and transfection efficiency of LNPs. We find that LNPs formulated with the cationic ionizable lipid DLin-MC3-DMA (MC3) in citrate compared to phosphate and acetate buffers exhibit earlier onset and stronger mRNA-GFP expression in-vitro. Using synchrotron small angle X-ray scattering (SAXS) we determine the pH dependent mesophases of ionizable lipid MC3/cholesterol/water dialyzed against the various buffers. The results show that the phase transition with decreasing pH from inverse micellar cubic to inverse hexagonal (Fd3m-HII) is shifted by one unit to a lower transition pH for acetate and phosphate compared to citrate buffer. Based on continuum theory and ion specific adsorption obtained from all-atom MD simulations, we propose a mechanism for buffer specificity. Citrate stabilizes the inverse hexagonal phase thus shifting the formation of HII to a higher pH. By contrast, phosphate and acetate stabilize LII. We propose that the Fd3m-to-HII transition, which is facilitated in citrate buffer, is responsible for a sensitized pH-response of the LNP core phase. This, in turn, enhances endosomal release efficiency and accounts for the earlier onset of gene expression observed in LNPs prepared with citrate buffer.

biophysics↗

bioRxiv2024

Allosteric activation of the SPRTN protease by ubiquitin maintains genome stability

The DNA-dependent protease SPRTN maintains genome stability by degrading toxic DNA-protein crosslinks (DPCs). To understand how SPRTNs promiscuous protease activity is confined to the cleavage of crosslinked proteins, we reconstitute the repair of DPCs including their modification with SUMO and ubiquitin chains, using recombinant human proteins. We discover that DPC ubiquitylation strongly activates SPRTN independently of SPRTNs known ubiquitin-binding domains. Using protein structure prediction, MD simulations and NMR spectroscopy we reveal that ubiquitin binds to an interface at the back of SPRTNs protease domain, promoting an active conformation. Replacing key interfacial residues prevents ubiquitin-dependent activation of SPRTN, which leads to genomic instability and cell cycle defects in cells expressing hypomorphic SPRTN variants that cause premature aging and liver cancer in Ruijs-Aalfs syndrome patients. Collectively, our results demonstrate that SPRTN activation is coupled to the modification of the crosslinked protein, explaining how specificity is achieved during DPC repair.

biochemistry↗

bioRxiv2023

Combining molecular dynamics simulations and X-ray scattering techniques for the accurate treatment of protonation degree and packing of ionizable lipids in monolayers

The pH-dependent change in protonation of ionizable lipids is crucial for the success of lipid-based nanoparticles as mRNA delivery systems. Despite their widespread application in vaccines, the structural changes upon acidification are not well understood. Molecular dynamics simulations support structure prediction but require an a-priori knowledge of the lipid packing and protonation degree. The presetting of the protonation degree is a challenging task in the case of ionizable lipids since it depends on pH and on the local lipid environment and often lacks experimental validation. Here, we introduce a methodology of combining all-atom molecular dynamics simulations with experimental total-reflection X-ray fluorescence and scattering measurements for the ionizable lipid Dlin-MC3-DMA (MC3) in POPC monolayers. This joint approach allows us to simultaneously determine the lipid packing and the protonation degree of MC3. The consistent parameterization is expected to be useful for further predictive modeling of the action of MC3-based lipid nanoparticles.

biophysics↗

bioRxiv2023

Adsorbing DNA to mica by cations: Influence of the valency and ion type

Ion-mediated attraction between DNA and mica plays a crucial role in biotechnological applications and molecular imaging. Here, we combine molecular dynamics simulations and single-molecule atomic force microscopy experiments to characterize the detachment forces of single-stranded DNA at mica surfaces mediated by the metal cations Li+, Na+, K+, Cs+, Mg2+ and Ca2+. Ion specific adsorption at the mica/water interface compensates (Li+, Na+) or overcompensates (K+, Cs+, Mg2+ and Ca2+) the bare negative surface charge of mica. In addition, direct and water-mediated contacts are formed between the ions, the phosphate oxygens of DNA and mica. The different contact types give rise to low and high force pathways and a broad distribution of detachment forces. Weakly hydrated ions, such as Cs+ and water-mediated contacts lead to low detachment forces and a high mobility of the DNA on the surface. Direct ion-DNA or ion-surface contacts lead to significantly higher forces. The comprehensive view gained from our combined approach allows us to highlight the most promising cations for imaging in physiological conditions: K+ to overcompensate the negative mica charge and induce long-ranged attractions. Mg2+ and Ca2+ to from a few specific and long-lived contacts to bind DNA with high affinity.

biophysics↗

bioRxiv2023

Structural Insights on Ionizable Dlin-MC3-DMA Lipids in DOPC Layers by Combining Accurate Atomistic Force Fields, Molecular Dynamics Simulations and Neutron Reflectivity

Ionizable lipids such as the promising Dlin-MC3-DMA (MC3) are essential for the successful design of lipid nanoparticles (LNPs) as drug delivery agents. Combining molecular dynamics simulations with experimental data such as neutron reflectivity experiments and other scattering techniques is essential to provide insights into the internal structure of LNPs, which is not fully understood to date. However, the accuracy of the simulations relies on the choice of force field parameters and high-quality experimental data is indispensable to verify the parametrization. For MC3, different parameterizations in combination with the CHARMM and the Slipids force field have recently emerged. Here, we complement the existing efforts by providing parameters for cationic and neutral MC3 compatible with the AMBER Lipid17 force field. Subsequently, we carefully assess the accuracy of the different force fields by providing a direct comparison to neutron reflectivity experiments of mixed lipid bilayers consisting of MC3 and DOPC at different pH. At low pH (cationic MC3) and at high pH (neutral MC3) the newly developed MC3 parameters in combination with AMBER Lipid17 for DOPC give good agreement with the experiments. Overall, the agreement is similar compared to the Park-Im parameters for MC3 in combination with the CHARMM36 force field for DOPC. The Ermilova-Swenson MC3 parameters in combination with the Slipids force field underestimate the bilayer thickness. While the distribution of cationic MC3 is very similar, the different force fields for neutral MC3 reveal distinct differences ranging from strong accumulation in the membrane center (current MC3/AMBER Lipid17 DOPC), over mild accumulation (Park-Im MC3/CHARMM36 DOPC) to surface accumulation (Ermilova-Swenson MC3/Slipids DOPC). These pronounced differences highlight the importance of accurate force field parameters and their experimental validation.

biophysics↗

bioRxiv2023

RNA G-quadruplex folding is a multi-pathway process with a variety of short-lived intermediates

The kinetics of folding is crucial for the function of many regulatory RNAs including RNA G-quadruplexes (rG4s). Here, we characterize the folding pathways of a G-quadruplex from the telomeric repeat-containing RNA by combining all-atom molecular dynamics and coarse-grained simulations with circular dichroism experiments. The quadruplex fold is stabilized by cations and thus, the ion atmosphere forming a double layer surrounding the highly charged quadruplex guides the folding process. To capture the ionic double layer in implicit solvent coarse-grained simulations correctly, we develop a matching procedure based on all-atom simulations in explicit water. The procedure yields quantitative agreement between simulations and experiments as judged by the populations of folded and unfolded states at different salt concentrations and temperatures. Subsequently, we show that coarse-grained simulations with a resolution of three interaction sites per nucleotide are well suited to resolve the folding pathways and their intermediate states. The results reveal that the folding progresses from unpaired chain via hairpin, triplex and double-hairpin constellations to the final folded structure. The two- and three-strand intermediates are stabilized by transient Hoogsteen interactions. Each pathway passes through two on-pathway intermediates. We hypothesize that conformational entropy is a hallmark of rG4 folding. Conformational entropy leads to the observed branched multi-pathway folding process for TERRA25. We corroborate this hypothesis by presenting the free energy landscapes and folding pathways of four rG4 systems with varying loop length.

biophysics↗

bioRxiv2021

Magnesium Force Fields for OPC Water with Accurate Solvation, Ion-Binding, and Water-Exchange Properties: Successful Transfer from SPC/E

Magnesium plays a vital role in a large variety of biological processes. To model such processes by molecular dynamics simulations, researchers rely on accurate force field parameters for Mg2+ and water. OPC is one of the most promising water models yielding an improved description of biomolecules in water. The aim of this work is to provide force field parameters for Mg2+ that lead to accurate simulation results in combination with OPC water. Using twelve different Mg2+ parameter sets, that were previously optimized with different water models, we systematically assess the transferability to OPC based on a large variety of experimental properties. The results show that the Mg2+ parameters for SPC/E are transferable to OPC and closely reproduce the experimental solvation free energy, radius of the first hydration shell, coordination number, activity derivative, and binding affinity toward the phosphate oxygens on RNA. Two optimal parameter sets are presented: MicroMg yields water exchange in OPC on the microsecond timescale in agreement with experiments. NanoMg yields accelerated exchange on the nanosecond timescale and facilitates the direct observation of ion binding events for enhanced sampling purposes.

biophysics↗

bioRxiv2021

Artificial Intelligence Resolves Kinetic Pathways of Magnesium Binding to RNA

Magnesium is an indispensable cofactor in countless vital processes. In order to understand its functional role, the characterization of the binding pathways to biomolecules such as RNA is crucial. Despite the importance, a molecular description is still lacking since the transition from the water-mediated outer-sphere to the direct inner-sphere conformation is on the millisecond timescale and therefore out of reach for conventional simulation techniques. To fill this gap, we use transition path sampling to resolve the binding pathways and to elucidate the role of the solvent in the reaction. The results reveal that the molecular void provoked by the leaving phosphate oxygen of the RNA is immediately filled by an entering water molecule. In addition, water molecules from the first and second hydration shell couple to the concerted exchange. To capture the intimate solute-solvent coupling, we perform a committor analysis as basis for a machine learning algorithm that derives the optimal deep learning model from thousands of scanned architectures using hyperparameter tuning. The results reveal that the properly optimized deep network architecture recognizes the important solvent structures, extracts the relevant information and predicts the commitment probability with high accuracy. Our results provide a quantitative description of solute-solvent coupling which is ubiquitous for kosmotropic ions and governs a large variety of biochemical reactions in aqueous solutions.

bioinformatics↗

bioRxiv2021

Twisting DNA by Salt

The structure and properties of DNA depend on the environment, in particular the ion atmosphere. Here, we investigate how DNA twist -one of the central properties of DNA- changes with concentration and identity of the surrounding ions. To resolve how cations influence the helical twist, we combine single-molecule magnetic tweezer experiments and extensive all- atom molecular dynamics simulations. Two interconnected trends are observed for monovalent alkali and divalent alkaline earth cations. First, DNA twist increases monotonously with increasing concentration for all ions investigated. Second, for a given salt concentration, DNA twist strongly depends on cation identity. At 100 mM concentration, DNA twist increases as Ba2+ < Na+ < K+ < Rb+ < Li+ {approx} Cs+ < Sr2+ < Mg2+ < Ca2+. Our molecular dynamics simulations reveal that preferential binding of the cations to the DNA backbone or the nucleobases has opposing effects on DNA twist and provides the microscopic explanation of the observed ion specificity. However, the simulations also reveal shortcomings of existing force field parameters for Cs+ and Sr2+. The comprehensive view gained from our combined approach provides a foundation for understanding and predicting cation-induced structural changes both in nature and in DNA nanotechnology.

biophysics↗

bioRxiv2021

Kinetic pathways of water exchange in the first hydration shell of magnesium: Influence of water model and ionic force field

Water exchange between the first and second hydration shell is essential for the role of Mg2+ in biochemical processes. In order to provide microscopic insights into the exchange mechanism, we resolve the exchange pathways by all-atom molecular dynamics simulations and transition path sampling. Since the exchange kinetics relies on the choice of the water model and the ionic force field, we systematically investigate the influence of seven different polarizable and non-polarizable water and three different Mg2+ models. In all cases, water exchange can occur either via an indirect or direct mechanism (exchanging molecules occupy different/same position on water octahedron). In addition, the results reveal a crossover from an interchange dissociative (Id) to an associative (Ia) reaction mechanism dependent on the range of the Mg2+-water interaction potential of the respective force field. Standard non-polarizable force fields follow the Id mechanism in agreement with experimental results. By contrast, polarizable and long-ranged non-polarizable force fields follow the Ia mechanism. Our results provide a comprehensive view on the influence of the water model and ionic force field on the exchange dynamics and the foundation to assess the choice of the force field in biomolecular simulations.

biophysics↗

bioRxiv2021

The P1 and P2 helices of the Guanidinium-II riboswitch interact in a ligand-dependent manner

Riboswitch RNAs regulate gene expression by conformational changes induced by environmental conditions and specific ligand binding. The guanidine-II riboswitch is proposed to bind the small molecule guanidinium and to subsequently form a kissing loop interaction between the P1 and P2 hairpins. While an interaction was shown for isolated hairpins in crystallization and EPR experiments, an intrastrand kissing loop formation has not been demonstrated. Here, we report the first evidence of this interaction in cis in a ligand and Mg2+ dependent manner. Using single-molecule FRET spectroscopy and detailed structural information from coarse-grained simulations, we observe and characterize three interconvertible states representing an open and kissing loop conformation as well as a novel Mg2+ dependent state for the guanidine-II riboswitch from E. coli. The results further substantiate the proposed switching mechanism and provide detailed insight into the regulation mechanism for the guanidine-II riboswitch class. Combining single molecule experiments and coarse-grained simulations therefore provides a promising perspective in resolving the conformational changes induced by environmental conditions and to yield molecular insights into RNA regulation.

biochemistry↗