Biology subjects

Zacharias, M.

Publications and source records attributed to Zacharias, M..

At least 19 recordsLinked to original sources

bioRxiv2026

The vacuolar tauopathy-associated mutation D395G confers redox sensitivity to p97/VCP

The multifunctional AAA+ ATPase p97/VCP is a pivotal regulator of cellular proteostasis, extracting polyubiquitinated substrates from protein complexes or organelle membranes for proteasomal degradation. Mutations in p97 are linked to a broad spectrum of neurodegenerative disorders, including multisystem proteinopathy and amyotrophic lateral sclerosis. Here, we provide insights into the basis of dysfunction in p97D395G, implicated in vacuolar tauopathy, using an integrated structural approach. The mutation destabilizes the interaction network in the transient ADP.Pi state previously identified in p97WT and alters the dynamics of the linker between the tandem ATPase domains, resulting in decreased ATPase activity. We further demonstrate that the D395G mutation sensitizes p97 to oxidative stress by enhancing C522 oxidation, thereby perturbing nucleotide binding in D2, and define the functional basis of this oxidative inactivation of p97. These findings reveal redox control as a key regulatory layer of the p97 ATPase cycle and provide a mechanistic framework for how oxidative stress contributes to p97-associated neurodegeneration.

molecular biology↗

bioRxiv2026

Estimation of Protein Melting Temperatures Using Small-Ladder Replica Exchange Simulations

The unfolding or melting temperature (TM) is a central quantity to characterize the stability of proteins and other biopolymers. The accurate prediction of protein melting temperatures by molecular mechanics force field simulations is highly desirable for many biophysical and biotechnological applications. Since the time scales for protein (un-)folding are hardly accessible in conventional MD (cMD) simulations, enhanced sampling techniques such as Temperature Replica Exchange Molecular Dynamics (TREMD) are typically employed. However, TREMD simulations are computationally very demanding especially if large temperature ranges need to be covered. Additionally, if the TM is initially unknown, setting up TREMD simulations is often challenging. To find the optimal initial conditions for such simulations, we describe their performance based on a theoretical model, which we validate on a minimalistic Markov Chain Monte Carlo (MCMC) simulation setup. In an effort to reduce the computational demand, we have investigated the possibility to use small sets of TREMD temperature ladders placed iteratively in the vicinity of a TM estimate. Different TREMD setups were extensively tested on the fast-folding protein Chignolin. We found that appropriate starting conformations lead to significantly faster convergence. Furthermore, we found that, in practice, combining multiple small temperature ladders can be advantageous in comparison to one single temperature ladder. Based on our findings, we formulate practical recommendations on how to set up TREMD for protein melting with optimal efficiency.

biophysics↗

bioRxiv2026

Mechanisms of MCM2-7 helicase activation and initial DNA melting at near base-pair resolution

During eukaryotic DNA replication initiation, inactive MCM2-7 double-hexamers assembled at replication origins must be converted into two active CMG helicases, yet how this transition is coupled to origin DNA unwinding in vivo remains unclear. Here, we identify a DNA-bound intermediate with an extended genomic footprint that forms during helicase activation. Genome-wide mapping of initial strand separation reveals that DNA unwinding initiates near the N-terminal interface of opposing MCM2-7 hexamers. At these sites, the origin DNA exhibits a conserved AT-rich/GC-rich/AT-rich sequence architecture on which the helicase complex is centred, consistent with a role in promoting DNA extrusion following double-hexamer separation. We further show that restricting hexamer rotation and splitting delays release of the Cdc45-loading factor Sld3, demonstrating that mechanical transitions during helicase activation are tightly coupled to complex disassembly. Finally, we provide in vivo evidence that single-stranded DNA is ejected through a specialised DNA exit gate at the Mcm2/5 interface during helicase activation, which is dispensable for ongoing DNA synthesis. Together, these findings establish a mechanistic framework for how replication origins are remodelled to initiate DNA replication and reveal key intermediates and DNA transactions during helicase activation.

molecular biology↗

bioRxiv2026

De novo protein ligand design including protein flexibility and conformational adaptation

MotivationThe rational design of chemical compounds that bind to a desired protein target molecule is a major goal of drug discovery. Most current molecular docking but also fragment-based build-up or machine-learning based generative drug design approaches employ a rigid protein target structure. ResultsBased on recent progress in predicting protein structures and complexes with chemical compounds we have designed an approach, AI-MCLig, to optimize a chemical compound bound to a fully flexible and conformationally adaptable protein binding region. During a Monte-Carlo (MC) type simulation to randomly change a chemical compound the target protein-compound complex is completely rebuilt at every MC step using the Chai-1 protein structure prediction program. Besides compound flexibility it allows the protein to adapt to the chemically changing compound. MC-protocols based on atom/bond type changes or based on combining larger chemical fragments have been tested. Simulations on three test targets resulted in potential ligands that show very good binding scores comparable to experimentally known binders using several different scoring schemes. The MC-based compound design approach is complementary to existing approaches and could help for the rapid design of putative binders including induced fit of the protein target. Availability and implementationDatasets, examples and source code are available on our public GitHub repository https://github.com/JakobAgamia/AI-MCLig and on Zenodo at https://doi.org/10.5281/zenodo.17800140.

bioinformatics↗

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

Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering

Spatial omics technologies have revolutionized the study of tissue architecture and cellular heterogeneity by integrating molecular profiles with spatial localization. In spatially resolved transcriptomics, delineating higher-order anatomical structures is critical for understanding how cellular organization affects tissue and organ function. Since 2020, more than 50 spatially aware clustering (SAC) methods have been developed for this purpose. However, the reliability of current benchmarks is undermined by their narrow focus on Visium and brain tissue datasets, as well as incorrect interpretation of manual annotation as ground truth. Here, we present SACCELERATOR, a community-driven, extensible framework that standardizes data formatting, method integration, and metric evaluation, and is designed to rapidly incorporate new methods and datasets. SACCELERATOR currently includes 22 SAC methods applied to 15 datasets spanning 9 technologies and diverse tissue types. Our analysis revealed substantial limitations in the generalizability and reproducibility of SAC methods across tissues and platforms. We also demonstrate that anatomical labels commonly used as ground truths are often biased, potentially error-prone, and, in some cases, unsuitable for benchmarking efforts. Rather than scoring and comparing methods, we propose a consensus-guided workflow that aggregates clustering results to generate consensus representations. Descriptive spatial metrics highlight areas of high entropy where method disagreement is highest, enabling targeted feedback for tissue experts. Applied to brain and cancer datasets, this approach uncovered biologically meaningful patterns overlooked by individual methods and manual annotations. Our results underscore the need for iterative, expert-in-the-loop analysis and reveal that traditional evaluation metrics do not always capture the subjective qualities of results. By improving tissue annotation and addressing key benchmarking limitations, SACCELERATOR provides a robust foundation for advancing spatial omics research.

genomics↗

bioRxiv2025

Exploring the Anti-Tumor Effects of Brusatol in Aggressive B-Cell Lymphomas

Aggressive B-cell lymphomas are the most common lymphoid malignancies in adults, with an increasing incidence. Diffuse large B-cell lymphoma (DLBCL) is the most prevalent and highly heterogeneous type, often exhibiting poor responses to standard immuno-chemotherapy. One third of patients experience primary refractory disease or relapse, particularly those with high c-MYC and BCL-2 expression levels, which drive aggressiveness and resistance to treatment. Therefore, the development of new therapies is urgently needed. This study explores the anti-tumor properties of brusatol, both as single agent and in combination with the BCL-2 inhibitor, venetoclax, for the treatment of aggressive lymphoma cells. Brusatol inhibited lymphoma cell growth in a concentration-dependent manner in various cell lines. Further analysis revealed that brusatol is able to efficiently induce cell death in the lymphoma cells in vitro, as well as in patient-derived samples. Importantly, the effect of brusatol was strongly reduced in non-malignant lymphoid cells compared to lymphoma cells. We discovered that lymphoma cell lines highly sensitive to brusatol have elevated c-MYC expression. Brusatol treatment rapidly reduced protein expression of c-MYC and MCL-1. Protein biosynthesis analysis confirmed that brusatol induced translational inhibition in aggressive lymphoma cells. Furthermore, the combination of brusatol and venetoclax synergistically enhanced lymphoma cell death, particularly in samples with low c-MYC protein levels. Our findings suggest that brusatol has significant potential for the development of novel therapeutic strategies for aggressive lymphomas, especially for cases with high c-MYC content. Additionally, its combination with venetoclax represents a promising approach to improve treatment outcomes.

cancer biology↗

bioRxiv2023

APP substrate ectodomain defines A beta length by restraining gamma-secretase processivity and facilitating product release

Sequential proteolysis of the amyloid precursor protein (APP) by {gamma}-secretases (GSECs) generates amyloid-{beta} (A{beta}) and defines the proportion of short-to-long A{beta} peptides, which is tightly connected to Alzheimers disease (AD) pathogenesis. Here, we study the mechanism controlling substrate processing by GSECs and defining product length. We found that polar interactions established by the APPC99 ectodomain (ECD), involving but not limited to its juxtamembrane region, restrain both the extent and degree of GSEC processive cleavage by destabilizing enzyme-substrate (E-S) interactions. We show that increasing hydrophobicity at APPC99-ECD - due to mutation or ligand binding - attenuates this substrate-driven product release mechanism, and rescues the effects that AD pathogenic variants exert on A{beta} profiles. In addition, our study reveals that APPC99-ECD facilitates the paradoxical production of longer A{beta}s caused by some GSEC inhibitors that act as high-affinity competitors to the substrate. These findings assign a pivotal role to the substrate ECD in the sequential proteolysis by GSEC and suggest it as a sweet spot for the potential design of APP targeting compounds selectively promoting its processing by GSEC.

biochemistry↗

bioRxiv2023

Unravelling ATP processing by the AAA+ protein p97 at the atomic level

The human enzyme p97 regulates various cellular pathways by unfolding hundreds of protein substrates in an ATP-dependent manner, making it an essential component of homeostasis and impactful pharmacological target. The hexameric complex undergoes substantial conformational changes in the course of its catalytic cycle. Here, we elucidate the molecular motions that occur at the active site in the temporal window immediately before and after ATP hydrolysis by merging cryo-EM, NMR spectroscopy and MD simulations. p97 populates a metastable reaction intermediate, the ADP.Pi state, which is poised between hydrolysis and product release. Detailed snapshots reveal that the active site is finely tuned to trap and eventually discharge the cleaved phosphate. Signalling pathways originating at the active site coordinate the action of the hexamer subunits and couple hydrolysis with allosteric conformational changes. Our multidisciplinary approach enables a glimpse into the sophisticated spatial and temporal orchestration of ATP handling by a prototype AAA+ protein.

biophysics↗

bioRxiv2022

Intra-membrane client recognition potentiates the chaperone functions of Calnexin

One third of the human proteome are membrane proteins. They are particularly vulnerable to misfolding, often requiring assistance by molecular chaperones. Calnexin (CNX), one of the most abundant ER chaperones, plays an important role in membrane protein biogenesis and engages clients via its sugar-binding lectin domain. Using mass spectrometric analyses, we show that Calnexin (CNX) interacts with a large number of non-glycosylated membrane proteins, suggesting additional binding modes. We find that misfolded membrane proteins are preferentially bound by CNX and that CNX uses its single transmembrane domain (TMD) for client recognition. Combining experimental and computational approaches, we systematically dissect signatures for intramembrane client recognition by CNX and identify sequence motifs within the CNX TMD region that mediate client binding. Building on this, we show that intramembrane client binding potentiates the chaperone functions of CNX. Together, this study reveals a widespread role of CNX client recognition in the lipid bilayer, which synergizes with its established lectin-based substrate binding. Molecular chaperones thus can combine different interaction modes to support the biogenesis of the diverse eukaryotic membrane proteome.

cell biology↗

bioRxiv2022

Active site geometry stabilization of a presenilin homolog by the lipid bilayer promotes intramembrane proteolysis

Cleavage of membrane proteins in the lipid bilayer by intramembrane proteases is crucial for health and disease. Although different lipid environments can potently modulate their activity, how this is linked to their structural dynamics is unclear. Here we show that the carboxy-peptidase-like activity of the archaeal intramembrane protease PSH, a homolog of the Alzheime[r]s disease-associated presenilin/{gamma}-secretase is impaired in micelles and promoted in a lipid bilayer. Comparative molecular dynamics simulations revealed that important elements for substrate binding such as transmembrane domain 6a of PSH are more labile in micelles and stabilized in the lipid bilayer. Moreover, consistent with an enhanced interaction of PSH with a transition- state analog inhibitor, the bilayer promoted the formation of the enzymes catalytic active site geometry. Our data indicate that the lipid environment of an intramembrane protease plays a critical role in structural stabilization and active site arrangement of the enzyme-substrate complex thereby promoting intramembrane proteolysis.

biochemistry↗

bioRxiv2021

Pronounced sequence specificity of the TET enzyme catalytic domain guides its cellular function

TET (ten-eleven translocation) enzymes catalyze the oxidation of 5-methylcytosine bases in DNA, thus driving active and passive DNA demethylation. Here, we report that the catalytic cores of mammalian TET enzymes favor CpGs embedded within bHLH and bZIP transcription factor binding sites, with 250-fold preference in vitro. Crystal structures and molecular dynamics calculations show that sequence preference is caused by intra-substrate interactions and CpG flanking sequence indirectly affecting enzyme conformation. TET sequence preferences are physiologically relevant as they explain the rates of DNA demethylation in TET-rescue experiments in culture and in vivo within the zygote and germline. Most and least favorable TET motifs represent DNA sites that are bound by methylation-sensitive immediate-early transcription factors and OCT4, respectively, illuminating TET function in transcriptional responses and pluripotency support. One-Sentence SummaryThe catalytic domains of the enzymes that facilitate passive and drive active DNA demethylation have intrinsic sequence preferences that target DNA demethylation to bHLH and bZIP transcription factor binding sites.

molecular biology↗

bioRxiv2021

Altered fibrin clot structure contributes to thrombosis risk in severe COVID-19

The high incidence of thrombotic events suggests a possible role of the contact system pathway in COVID-19 pathology. Here, we demonstrate altered levels of factor XII (FXII) and its activation products in two independent cohorts of critically ill COVID-19 patients in comparison to patients suffering from severe acute respiratory distress syndrome due to influenza virus (ARDS-influenza). Compatible with this data, we report rapid consumption of FXII in COVID-19, but not in ARDS-influenza, plasma. Interestingly, the kaolin clotting time was not prolonged in COVID-19 as compared to ARDS-influenza. Using confocal and electron microscopy, we show that increased FXII activation rate, in conjunction with elevated fibrinogen levels, triggers formation of fibrinolysis-resistant, compact clots with thin fibers and small pores in COVID-19. Accordingly, we observed clot lysis in 30% of COVID-19 patients and 84% of ARDS-influenza subjects. Analysis of lung tissue sections revealed wide-spread extra- and intra-vascular compact fibrin deposits in COVID-19. Together, our results indicate that elevated fibrinogen levels and increased FXII activation rate promote thrombosis and thrombolysis resistance via enhanced thrombus formation and stability in COVID-19.

biochemistry↗

bioRxiv2021

Dissociation of β2m from MHC Class I Triggers Formation of Noncovalent, Transient Heavy Chain Dimers

At the plasma membrane of mammalian cells, major histocompatibility complex class I molecules (MHC-I) present antigenic peptides to cytotoxic T cells. Following the loss of the peptide and the light chain beta-2 microglobulin ({beta}2m), the resulting free heavy chains (FHCs) can associate into homotypic complexes in the plasma membrane. Here, we investigate the stoichiometry and dynamics of MHC-I FHCs assemblies by combining a micropattern assay with fluorescence recovery after photobleaching (FRAP) and with single molecule co-tracking. We identify non-covalent MHC-I FHC dimers mediated by the 3 domain as the prevalent species at the plasma membrane, leading a moderate decrease in the diffusion coefficient. MHC-I FHC dimers show increased tendency to cluster into higher order oligomers as concluded from an increased immobile fraction with higher single molecule co-localization. In vitro studies with isolated proteins in conjunction with molecular docking and dynamics simulations suggest that in the complexes, the 3 domain of one FHC binds to another FHC in a manner similar to the {beta}2m light chain. Significance StatementMHC class I molecules are cell surface transmembrane proteins with key functions in adaptive immunity against viral infections. The spatiotemporal organization of fully assembled MHC I at the cell surface and its function with respect to trans-interactions with T and NK cells has been studied in detail. By contrast, the consequences of peptide and {beta}2m dissociation yielding to formation of free heavy chains (FHC) have remained unclear. We have discovered that class I free heavy chains form distinct non-covalent dimers at the cell surface rather than non-specific clustering, and we have identified a dimerization interface mediated by the 3 domain. We propose that these non-covalent dimers are the basis of distinct signaling and endocytic sorting of MHC I FHC. This is to be explored in further work.

cell biology↗

bioRxiv2020

Molecular insights on CALX-CBD12 inter-domain dynamics from MD simulations, RDCs and SAXS

Na+/Ca2+ exchangers (NCX) are secondary active transporters that couple the translocation of Na+ with the transport of Ca2+ in the opposite direction. The exchanger is an essential Ca2+ extrusion mechanism in excitable cells. It consists of a transmembrane domain and a large intracellular loop that contains two Ca2+-binding domains, CBD1 and CBD2. The two CBDs are adjacent to each other and form a two-domain Ca2+-sensor called CBD12. Binding of intracellular Ca2+ to CBD12 activates the NCX but inhibits the Na+/Ca2+ exchanger of Drosophila, CALX. NMR spectroscopy and SAXS studies showed that CALX and NCX CBD12 constructs display significant inter-domain flexibility in the Apo state, but assume rigid inter-domain arrangements in the Ca2+-bound state. However, detailed structure information on CBD12 in the Apo state is missing. Structural characterization of proteins formed by two or more domains connected by flexible linkers is notoriously challenging and requires the combination of orthogonal information from multiple sources. As an attempt to characterize the conformational ensemble of CALX-CBD12 in the Apo state, we applied molecular dynamics (MD) simulations, NMR (1H-15N RDCs) and Small-Angle X-Ray Scattering (SAXS) data in a combined modelling strategy that generated atomistic information on the most representative conformations. This joint approach demonstrated that CALX-CBD12 preferentially samples closed conformations, while the wide-open inter-domain arrangement characteristic of the Ca2+-bound state is less frequently sampled. These results are consistent with the view that Ca2+ binding shifts the CBD12 conformational ensemble towards extended conformers, which could be a key step in the Na+/Ca2+ exchangers allosteric regulation mechanism. The present strategy, combining MD with NMR and SAXS, provides a powerful approach to select representative structures from ensembles of conformations, which could be applied to other flexible multi-domain systems. SIGNIFICANCEThe conformational ensemble of CALX-CBD12, the main Ca2+-sensor of Drosophilas Na+/Ca2+ exchanger, was characterized by a combination of MD simulations with SAXS and NMR data using the EOM approach. This analysis showed that this two-domain construct experiences opening-closing motions, providing molecular information about CALX-CBD12 in the Apo state. Ca2+-binding shifts the conformational ensemble towards extended conformers. These findings are consistent with a model according to which Ca2+ modulation of CBD12 plasticity is a key step in the Ca2+-regulation mechanism of the full-length exchanger.

biophysics↗

bioRxiv2020

Molecular and spectroscopic characterization of green and red cyanine fluorophores from the Alexa Fluor and AF series

The use of fluorescence techniques has had an enormous impact on various research fields including imaging, biochemical assays, DNA-sequencing and medical technologies. This has been facilitated by the availability of numerous commercial dyes, but often information about the chemical structures of dyes (and their linkers) are a well-kept secret. This can lead to problems for applications where a knowledge of the dye structure is necessary to predict (unwanted) dye-target interactions, or to establish structural models of the dye-target complex. Using a combination of spectroscopy, mass spectrometry and molecular dynamics simulations, we here investigate the molecular structures and spectroscopic properties of dyes from the Alexa Fluor (Alexa Fluor 555 and 647) and AF series (AF555, AF647, AFD647). Based on available data and published structures of the AF and Cy dyes, we present two possible structures for Alexa Fluor 555. We also resolve conflicting reports on the linker composition of Alexa Fluor 647. A comprehensive comparison between Alexa Fluor and AF dyes by continuous-wave absorption and emission spectroscopy, quantum yield determination, fluorescence lifetime and anisotropy spectroscopy of free and protein-attached dyes, supports the suggestion that the Alexa Fluor and AF dyes have a high degree of structural similarity. In addition, we compared Alexa Fluor 555 and Alexa Fluor 647 to their structural homologs AF555 and AF(D)647 in single-molecule FRET applications. Both pairs showed excellent performance in solution-based smFRET experiments using alternating laser excitation demonstrating that the AF-fluorophores are an attractive alternative to Alexa- and Cy-dyes for smFRET studies, and suggesting their usefulness for other fluorescence applications.

biophysics↗

bioRxiv2020

Evolution of structural dynamics in bilobed proteins

Novel biophysical tools allow the structural dynamics of proteins, and the regulation of such dynamics by binding partners, to be explored in unprecedented detail. Although this has provided critical insights into protein function, the means by which structural dynamics direct protein evolution remains poorly understood. Here, we investigated how proteins with a bilobed structure, composed of two related domains from the type-II periplasmic binding protein domain family, have undergone divergent evolution leading to modification of their structural dynamics and function. We performed a structural analysis of ~600 bilobed proteins with a common primordial structural core, which we complemented with biophysical studies to explore the structural dynamics of selected examples by single-molecule Forster resonance energy transfer and Hydrogen-Deuterium exchange mass spectrometry. We show that evolutionary modifications of the structural core, largely at its termini, enables distinct structural dynamics, allowing the diversification of these proteins into transcription factors, enzymes, and extra-cytoplasmic transport-related proteins. Structural embellishments of the core created new interdomain interactions that stabilized structural states, reshaping the active site geometry, and ultimately, altered substrate specificity. Our findings reveal an as yet unrecognized mechanism for the emergence of functional promiscuity during long periods of protein evolution and are applicable to a large number of domain architectures.

biophysics↗

bioRxiv2020

Base pairing and stacking contributions to double stranded DNA formation

Double-strand (ds)DNA formation and dissociation are of fundamental biological importance. The negatively DNA charge influences the dsDNA stability. However, the base pairing and the stacking between neighboring bases are responsible for the sequence dependent stability of dsDNA. The stability of a dsDNA molecule can be estimated from empirical nearest-neighbor models based on contributions assigned to base pair steps along the DNA and additional parameters due to DNA termini. In efforts to separate contributions it has been concluded that base-stacking dominates dsDNA stability whereas base-pairing contributes negligibly. Using a different model for dsDNA formation we re-analyze dsDNA stability contributions and conclude that base stacking contributes already at the level of separate ssDNAs but that pairing contributions drive the dsDNA formation. The theoretical model also predicts that stability contributions of base pair steps that contain only guanine/cytosine, mixed steps and steps with only adenine/thymine follows the order 6:5:4, respectively, as expected based on the formed hydrogen bonds. The model is fully consistent with available stacking data and nearest-neighbor dsDNA parameters. It allows to assign a narrowly distributed value for the effective free energy contribution per formed hydrogen bond during dsDNA formation of -0.72 kcal{middle dot}mol-1 based entirely on experimental data.

biophysics↗