Biology subjects

Krepl, M.

Publications and source records attributed to Krepl, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Parallel DNA Holliday Junctions: Myth or Reality? An Atomistic Molecular Dynamics Study

Holliday junctions (HJs) are key intermediates of homologous recombination and fundamental building blocks in DNA nanotechnology. Although the canonical antiparallel stacked-X conformation has been extensively characterized by X-ray crystallography, whether parallel HJ conformations exist in aqueous solution remains unresolved. Here, we address this question using extensive atomistic molecular dynamics (MD) simulations and replica-exchange umbrella sampling (REUS) free-energy calculations. Starting from canonical antiparallel HJs, standard MD simulations occasionally revealed spontaneous transitions to parallel conformations on the microsecond timescale without disrupting the DNA duplexes or passing through an open junction intermediate. REUS free-energy profiles confirmed the antiparallel state as the global minimum but also identified the parallel conformation as a well-defined local minimum, indicating it is thermodynamically metastable despite an estimated solution population below 1%. The combination of low equilibrium occupancy, microsecond interconversion dynamics, and the surprisingly close structural similarity between antiparallel and parallel junctions provides a plausible explanation for the lack of direct experimental detection. We further found that the free-energy landscape is only weakly affected by branching-point sequence and salt concentration. These results reconcile the apparent absence of experimental evidence for parallel HJs with their structural feasibility in solution and offer a fresh perspective on the historical debate. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=61 SRC="FIGDIR/small/737670v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1616b7forg.highwire.dtl.DTLVardef@d868c9org.highwire.dtl.DTLVardef@1c795cborg.highwire.dtl.DTLVardef@3b52b9_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

Enhanced RNA Formation Under Amine-Rich Local Atmospheres from 2',3'- Cyclic Nucleotides

The core biopolymers (DNA, RNA and proteins) are assembled from their monomers under conditions that avoid water. RNA is crucial for the Origin of Life. When cleaved from its polymerized state, RNA first transitions to nucleoside 2,3-cyclic phosphates. In the reverse direction, RNA polymerizes from 2,3-cyclic monomers in dry states, creating short oligomers that then can ligate on a template under aqueous, alkaline conditions. We studied the role of the counterions in polymerization of 2,3-cyclic nucleotides under geologically plausible settings. Through experiments and simulations, we demonstrate that the presence of ammonium and alkylammonium counterions greatly improves RNA polymerization. The otherwise less reactive cytidine containing monomers formed polyC sequences of up to heptamers; copolymers of AU, GC, or GCAU were detected up to hexamers. Our findings suggest three reasons for this: (1) (Alkyl)ammonium cations form hydrogen bonds with phosphates, (2) their alkaline pKa value can trigger general base catalysis, and (3) (alkyl)ammonium salts naturally form dry, anhydrous materials. The findings indicate that pyrolyzed organic tars creating ammonia-rich gas pockets in subsurface rocks could have enhanced the early evolution of RNA. TOC image O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/713775v1_ufig1.gif" ALT="Figure 1"> View larger version (112K): org.highwire.dtl.DTLVardef@1adc431org.highwire.dtl.DTLVardef@12b8da0org.highwire.dtl.DTLVardef@5f187dorg.highwire.dtl.DTLVardef@140ed1a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Destabilization of Structured RNAs by OPC and TIP4PD Water Models

The four-point OPC water model has recently gained reputation as the preferred choice for molecular dynamics (MD) simulations of nucleic acids and even proteins, providing more realistic reproduction of bulk physical properties of water than the older three-point models. It has been shown to improve for example simulations of unstructured biomolecules such as RNA tetranucleotides or intrinsically disordered proteins. However, the performance for folded RNA structures was not specifically explored. In this study, we present extensive testing of the OPC water model on three different RNAs with highly intricate tertiary structures - the ribosomal L1 stalk RNA-protein protuberance, the mini tetraloop-tetraloop receptor (miniTTR-6) folded RNA, and the GAAA tetraloop-tetraloop receptor homodimer. The OPC performance is directly compared against SPC/E, TIP3P, OPC3, and TIP4P-EW water models along with the common OL3 AMBER RNA force field (FF). We found substantial effect of the water model on simulation behavior. For all three systems, we observe large-scale unfolding of the RNA, and even loss of the L1 stalk protein-RNA interface, when simulated with the OPC. In contrast, the simulations are entirely stable with the three-point water models. The underlying cause seems to be the higher affinity of the OPC waters to H-bond donor and acceptor groups of the RNA, disrupting the native solute-solute interactions. An identical issue can be observed also for the similar and widely used TIP4PD water model combined with the DES-Amber RNA FF. Our findings suggest that caution is warranted when using the four-point OPC and TIP4PD water models for simulations of structured RNAs. In combination with the current AMBER RNA FFs, the three-point water models may provide more realistic alternatives.

biophysics↗

bioRxiv2025

The Kink-Turn Motif: A Powerful Test for Revealing Weaknesses in RNA Force Fields

The kink-turn is a recurrent RNA structural motif that induces a sharp bend (kink) in the A-form RNA helix. It is defined by key structural features, including consecutive sheared AG base pairs, an A-minor interaction, and multiple base-sugar interactions. Accurate representation of these densely packed non-canonical motifs in molecular dynamics simulations poses a significant challenge for contemporary force fields (FFs). Here, we present extended simulations of ribosomal kink-turn 7 (Kt-7) using a broad spectrum of pair-additive and polarizable RNA FFs. None of the tested FFs manage to flawlessly describe all the specific structural features of the Kt-7, which are described in detail in this work. Still, several FFs provide rather acceptable results and should not cause problems in simulations of larger RNAs containing a kink-turn. On aggregate, the widely used OL3 (ff99bsc0{chi}OL3) and polarizable AMOEBA FFs achieve the best performance. On the other hand, some more recently parametrized FF variants struggle to describe the Kt-7s tertiary A-minor interaction - an ubiquitous tertiary contact in RNA. This raises some concerns about the broader applicability of these FFs and suggests that they may be overfitted to small RNA model systems, such as RNA tetranucleotides. The difficulties manifest as either reversible local disruptions of the A-minor interaction and other tertiary contacts or, in some cases, irreversible unkinking of the entire motif. Based on our findings, we strongly suggest including the kink-turn motif in training and benchmarking datasets as the quintessential regression test to enhance the robustness and accuracy of RNA FF parametrization efforts.

biophysics↗

bioRxiv2025

Sequence-Dependent Dynamics of U:U Mismatches in RNA Revealed by Molecular Dynamics Simulations

The uracil:uracil (U:U) base pair is one of the most common mismatches observed in RNA. It is notable for its ability to adopt multiple conformational states depending on its structural environment, particularly on the identity of the flanking canonical base pairs. Here, we employed extensive molecular dynamics (MD) simulations to systematically investigate the conformational dynamics of a U:U mismatch embedded within a model A-form RNA helix, flanked by all possible canonical base pair combinations. We found that the neighboring base pairs strongly influence the preferred conformational states of the U:U mismatch. However, the mismatch still regularly samples the less favored conformations on a timescale of hundreds of nanoseconds. Contrary to previous assumptions, water-mediated conformations are not universally the most stable conformational states for isolated U:U mismatches as some of the variants distinctly prefer the direct H-bonding while others destabilize the U:U mismatch altogether. Our results strongly suggest that the presence of a U:U mismatch introduces local strain into the RNA helix, which can be relieved through dynamic destabilization of either the mismatch itself or the flanking canonical base pairs, occasionally forming a shifting "bubble" of instability. These findings advance our understanding of U:U mismatch behavior in RNA and reveal a complex interplay between local sequence context, structural stability, and RNA dynamics.

biophysics↗

bioRxiv2024

Can We Ever Develop an Ideal RNA Force Field? Lessons Learned from Simulations of UUCG RNA Tetraloop and Other Systems.

Molecular dynamics (MD) simulations are an important and well-established tool for investigating RNA structural dynamics, but their accuracy relies heavily on the quality of the employed force field (ff). In this work, we present a comprehensive evaluation of widely used pair-additive and polarizable RNA ffs using the challenging UUCG tetraloop (TL) benchmark system. Extensive standard MD simulations, initiated from the NMR structure of the 14-mer UUCG TL, revealed that most ffs did not maintain the native state, instead favoring alternative loop conformations. Notably, three very recent variants of pair-additive ffs, OL3CP-gHBfix21, DESAMBER, and OL3R2.7, successfully preserved the native structure over a 10 x 20 {micro}s timescale. To further assess these ffs, we performed enhanced sampling folding simulations of the shorter 8-mer UUCG TL, starting from the single-stranded conformation. Estimated folding free energies ({Delta}G{degrees}fold) varied significantly among these three ffs, with values of 0.0 {+/-} 0.6 kcal/mol, 2.4 {+/-} 0.8 kcal/mol, and 7.4 {+/-} 0.2 kcal/mol for OL3CP-gHBfix21, DESAMBER, and OL3R2.7, respectively. The {Delta}G{degrees}fold value from OL3CP-gHBfix21 was closest to experimental data, while the higher {Delta}G{degrees}fold values from DESAMBER and OL3R2.7 were unexpected, suggesting an over- or underestimation of key interactions within the folded and mis(un)folded ensembles. These discrepancies led us to further test DESAMBER and OL3R2.7 ffs on additional RNA and DNA systems, where further performance issues were observed. Our results emphasize the complexity of accurately modeling RNA dynamics and suggest that creating an RNA ff capable of reliably performing across a wide range of RNA motifs remains extremely challenging. In conclusion, our study provides valuable insights into the capabilities of current RNA ffs and highlights key areas for future ff development.

biophysics↗

bioRxiv2024

How Binding Site Flexibility Promotes RNA Scanning in TbRGG2 RRM: A Molecular Dynamics Simulation Study

RNA Recognition Motifs (RRMs) are a key class of proteins that primarily bind single-stranded RNAs. In this study, we use unbiased molecular dynamics simulations to obtain insights into the intricate binding dynamics between uridine-rich RNAs and TbRGG2 RRM. Complementing structural experiments that unveil a primary binding mode with a single uridine bound, our simulations uncover two supplementary binding modes where adjacent nucleotides encroach upon the binding pocket. This leads to a unique molecular mechanism through which TbRGG2 RRM is capable of rapidly transitioning the U-rich sequence. In contrast, presence of non-native cytidines induces stalling and destabilization of the complex. By leveraging extensive equilibrium dynamics and large variety of binding states, TbRGG2 RRM effectively expedites diffusion along the RNA substrate while ensuring robust selectivity for U-rich sequences despite featuring a solitary binding pocket. Using recently developed Stafix potential, we substantiate our description of the complex dynamics by simulating fully spontaneous association process of U-rich sequences to the TbRGG2 RRM. Our study highlights critical role of dynamics and auxiliary binding states in interface dynamics employed by RNA-binding proteins, which is not readily apparent in traditional structural studies, but could represent a general type of binding strategy employed by many RNA-binding proteins.

biophysics↗

bioRxiv2024

Transcriptome-scale analysis uncovers conserved residues in the hydrophobic core of the bacterial RNA chaperone Hfq required for small regulatory RNA stability

The RNA-chaperone Hfq plays crucial roles in bacterial gene expression and is a major facilitator of small regulatory RNA (sRNA) action. The toroidal molecular architecture of the Hfq hexamer contains three well characterised surfaces which allow it to bind sRNAs to stabilise them and engage target transcripts. Hfq-interacting sRNAs are categorised into two classes based on the surfaces they use to bind Hfq. By characterising a systematic alanine mutant library of Hfq to identify amino acid residues that impact survival of Escherichia coli experiencing nitrogen starvation, we corroborated the important role of the three RNA binding surfaces for Hfq function. Surprisingly, we uncovered two conserved residues, V22 and G34, in the hydrophobic core of Hfq, to have a profound impact on Hfqs RNA binding activity in vivo. Transcriptome-scale analysis revealed that V22A and G34A Hfq mutants cause widespread destabilisation of both sRNA classes. However, the alanine substitutions at these residues had no measurable impact on protein stability, structure or equilibrium binding to target sRNAs in vitro. We propose that V22 and G34 are key to the cooperative function among the RNA-binding surfaces of Hfq, a mechanism especially critical under cellular conditions when there is an increased demand for Hfq.

microbiology↗

bioRxiv2024

Comprehensive Assessment of Force-Field Performance in Molecular Dynamics Simulations of DNA/RNA Hybrid Duplexes

Mixed double helices formed by RNA and DNA strands, commonly referred to as hybrid duplexes or hybrids, are essential in biological processes like transcription and reverse transcription. They are also important for their applications in CRISPR gene editing and nanotechnology. Yet, despite their significance, the hybrids have been seldom modeled by atomistic molecular dynamics methodology, and there is no benchmark study systematically assessing the force-field performance. Here, we present an extensive benchmark study of the hybrids using contemporary and commonly utilized pairwise additive and polarizable nucleic acid force fields. Our findings indicate that none of the available force-field choices accurately reproduces all the characteristic structural details of the hybrids. The AMBER force fields are unable to populate the C3'-endo (north) pucker of the DNA strand and underestimate inclination. CHARMM force field accurately describes the C3'-endo pucker and inclination but shows base pair instability. The polarizable force fields struggle with accurately reproducing the helical parameters. Some force-field combinations even demonstrate a discernible conflict between the RNA and DNA parameters. In this work, we offer a candid assessment of the force-field performance for mixed DNA/RNA duplexes. We provide guidance on selecting utilizable force-field combinations, as well as highlight potential pitfalls and best practices for obtaining optimal performance.

biophysics↗

bioRxiv2024

The Drosophila RNA binding protein Hrp48 binds a specificRNA sequence of the msl-2 mRNA 3' UTR to regulatetranslation

Repression of msl-2 mRNA translation is essential for viability of Drosophila melanogaster females to prevent hypertranscription of both X chromosomes. This translational control event is coordinated by the female-specific protein Sex-lethal (Sxl) which recruits the RNA binding proteins Unr and Hrp48 to the 3 untranslated region (UTR) of the msl-2 transcript and represses translation initiation. The mechanism exerted by Hrp48 during translation repression and its interaction with msl-2 are not well understood. Here we investigate the RNA binding specificity and affinity of the tandem RNA recognition motifs of Hrp48. Using NMR spectroscopy, molecular dynamics simulations and isothermal titration calorimetry, we identified the exact region of msl-2 3 UTR recognized by Hrp48. Additional biophysical experiments and translation assays give further insights into complex formation of Hrp48, Unr, Sxl and RNA. Our results show that Hrp48 binds independent of Sxl and Unr downstream of the E and F binding sites of Sxl and Unr to msl-2.

biophysics↗

bioRxiv2024

Mechanical stability and unfolding pathways of parallel tetrameric G-quadruplexes probed by pulling simulations

Guanine-quadruplex (GQ) is a noncanonical nucleic acid structure formed by guanine-rich DNA and RNA sequences. Folding of GQs is a complex process, many aspects of which remain elusive, despite being important for understanding of structure formation and biological functions of GQs. Pulling experiments are a common tool for acquiring insights into the folding landscape of GQs. Herein, we applied a computational pulling strategy - Steered Molecular Dynamics (SMD) simulations - combined with standard Molecular Dynamics (MD) simulations to explore the unfolding landscapes of tetrameric parallel GQs. We identified anisotropic properties of elastic conformational changes, unfolding transitions, and GQ mechanical stabilities. The vertical component of pulling force (perpendicular to the average G-quartet plane) plays a significant role in disrupting GQ structures and weakening their mechanical stabilities. We demonstrated that the magnitude of vertical force component depends on the pulling anchor positions and the number of G-quartets. Typical unfolding transitions for tetrameric parallel GQs involve base unzipping, opening of the G-stem, strand slippage and rotation to cross-like structures. The unzipping was detected as the first and dominant unfolding event and it usually started at the 3-end. Furthermore, results from both SMD and standard MD simulations indicate that partial spiral conformations serve as a transient ensemble during the (un)folding of GQs.

biophysics↗

bioRxiv2023

Simple Adjustment of Intra-nucleotide Base-phosphate Interaction in OL3 AMBER Force Field Improves RNA Simulations

Molecular dynamics (MD) simulations represent an established tool to study RNA molecules. Outcome of MD studies depends, however, on the quality of the used force field (ff). Here we suggest a correction for the widely used AMBER OL3 ff by adding a simple adjustment of nonbonded parameters. The reparameterization of Lennard-Jones potential for the -H8...O5- and -H6...O5- atom pairs addresses an intra-nucleotide steric clash occurring in the type 0 base-phosphate interaction (0BPh). The non-bonded fix (NBfix) modification of 0BPh interactions (the NBfix0BPh modification) was tuned via reweighting approach and, subsequently, tested using extensive set of standard and enhanced sampling simulations of both unstructured and folded RNA motifs. The modification corrects minor but visible intra-nucleotide clash for the anti nucleobase conformation. We observed that structural ensembles of small RNA benchmark motifs simulated with the NBfix0BPh modification provide better agreement with experiments. No side-effects of the modification were observed in standard simulations of larger structured RNA motifs. We suggest that the combination of OL3 RNA ff and NBfix0BPh modification is a viable option to improve RNA MD simulations.

biophysics↗

bioRxiv2023

Complexity of Guanine Quadruplex Unfolding Pathways Revealed by Atomistic Pulling Simulations

Guanine quadruplexes (GQs) are non-canonical nucleic acid structures involved in many biological processes. GQs formed in single-stranded regions often need to be unwound by cellular machinery, so their mechanochemical properties are important. Here, we performed steered molecular dynamics simulations of human telomeric GQs to study their unfolding. We examined four pulling regimes, including very slow setup with pulling velocity and force load accessible to high-speed atomic force microscopy. We identified multiple factors affecting the unfolding mechanism. The more the direction of force was perpendicular to the GQ channel axis (determined by GQ topology), the more the base unzipping mechanism happened. If the GQ had either all-anti or all-syn pattern in a strand, strand slippage mechanism was more likely to occur. Importantly, slower pulling velocity led to richer unfolding pathways including partial refolding attempts. We show that GQ may eventually unfold after force drop under forces smaller than those the GQ withstood before the drop. This suggests that proteins in vivo might resolve GQs even if their stall forces are smaller than GQ rupture force. Finally, we found out that different unfolding intermediates may have very similar chain end-to-end distance, which reveals some limitations of structural interpretations of single-molecule spectroscopic data.

biophysics↗

bioRxiv2022

Conformational Heterogeneity of RNA Stem-Loop Hairpins Bound to FUS RNA Recognition Motif with Disordered RGG Tail Revealed by Unbiased Molecular Dynamics Simulations.

RNA-protein complexes use diverse binding strategies, ranging from structurally well-defined interfaces to completely disordered regions. Experimental characterization of flexible segments is challenging and can be aided by atomistic molecular dynamics (MD) simulations. Here we used extended set of microsecond-scale MD trajectories (400 s in total) to study two FUS-RNA constructs previously characterized by NMR spectroscopy. The FUS protein contains well-structured RNA Recognition Motif domain followed by presumably disordered RGG tail and bind RNA stem-loop hairpins. Our simulations provide several suggestions complementing the experiments but also reveal major methodological difficulties in studies of such complex RNA-protein interfaces. Despite efforts to stabilize the binding via system-specific force-field adjustments, we have observed progressive distortions of the RNA-protein interface inconsistent with experimental data, as in detail documented. We further propose that the dynamics is so rich that its converged description would not be achievable even upon stabilizing the system. Still, after careful analysis of the trajectories, we have made several suggestions regarding the binding. We identify substates in the RNA loops which can explain the NOE data. The RGG tail localized in the minor groove remains disordered, sampling countless transient interactions with the RNA. There are long-range couplings among the different elements contributing to the recognition, which can lead to allosteric communication throughout the system. Overall, the RNA-FUS systems form dynamical ensembles that cannot be fully represented by single static structures. Thus, albeit imperfect, MD simulations represent a viable tool to investigate them.

molecular biology↗

bioRxiv2022

Spontaneous binding of single-stranded RNAs to RRM proteins visualised by unbiased atomistic simulations with rescaled RNA force field

Recognition of single-stranded RNA (ssRNA) by RNA recognition motif (RRM) domains is an important class of protein-RNA interactions. Many such complexes were characterized using NMR and/or X-ray crystallography techniques, revealing ensemble-averaged pictures of the bound states. However, it is becoming widely accepted that better understanding of protein-RNA interactions would be obtained from ensemble descriptions. Indeed, earlier molecular dynamics (MD) simulations of bound states indicated visible dynamics at the RNA-RRM interfaces. Here, we report the first atomistic simulation study of spontaneous binding of short RNA sequences to RRM domains of HuR and SRSF1 proteins. Using millisecond-scale aggregate ensemble of unbiased simulations we were able to observe a few dozens of binding events. The HuR RRM3 utilizes a pre-binding state to navigate the RNA sequence to its partially disordered bound state and then to dynamically scan its different binding registers. The SRFS1 RRM2 binding is more straightforward but still multiple-pathway. The present study necessitated development of a goal-specific force-field modification scaling down the intramolecular vdW interactions of the RNA which also improves description of the RNA-RRM bound state. Our study opens a new avenue for large-scale atomistic investigations of binding landscapes of protein-RNA complexes and future perspectives of such research are discussed.

molecular biology↗

bioRxiv2021

Recognition of N6-methyladenosine by the YTHDC1 YTH domain studied by molecular dynamics and NMR spectroscopy: The role of hydration

The YTH domain of YTHDC1 belongs to a class of protein "readers", recognizing the N6-methyladenosine (m6A) chemical modification in mRNA. Static ensemble-averaged structures revealed details of N6-methyl recognition via a conserved aromatic cage. Here, we performed molecular dynamics (MD) simulations along with nuclear magnetic resonance (NMR) and isothermal titration calorimetry (ITC) to examine how dynamics and solvent interactions contribute to the m6A recognition and negative selectivity towards unmethylated substrate. The structured water molecules surrounding the bound RNA and the methylated substrates ability to exclude bulk water molecules contribute to the YTH domains preference for m6A. Intrusions of bulk water deep into the binding pocket disrupt binding of unmethylated adenosine. The YTHDC1s preference for the 5'-Gm6A-3' motif is partially facilitated by a network of water-mediated interactions between the 2-amino group of the guanosine and residues in the m6A binding pocket. The 5'-Im6A-3' (where I is inosine) motif can be recognized too but disruption of the water network lowers affinity. The D479A mutant also disrupts the water network and destabilizes m6A binding. Our interdisciplinary study of YTHDC1 protein/RNA complex reveals an unusual physical mechanism by which solvent interactions contributes towards m6A recognition.

biophysics↗

bioRxiv2020

Phosphorothioate substitutions in RNA structure studied by molecular dynamics simulations, QM/MM calculations and NMR experiments

Phosphorothioates (PTs) are important chemical modifications of the RNA backbone where a single non-bridging oxygen of the phosphate is replaced with a sulphur atom. PT can stabilize RNAs by protecting them from hydrolysis and is commonly used as tool to explore their function. It is, however, unclear what basic physical effects PT has on RNA stability and electronic structure. Here, we present Molecular Dynamics (MD) simulations, quantum mechanical (QM) calculations, and NMR spectroscopy measurements, exploring the effects of PT modifications in the structural context of the Neomycin-sensing riboswitch (NSR). The NSR is the smallest biologically functional riboswitch with a well-defined structure stabilized by a U-turn motif. Three of the signature interactions of the U-turn; an H-bond, an anion-{pi} interaction and a potassium binding site; are formed by RNA phosphates, making the NSR an ideal model for studying how PT affects RNA structure and dynamics. By comparing with high-level QM calculations, we reveal the distinct physical properties of the individual interactions facilitated by the PT. The sulphur substitution, besides weakening the direct H-bond interaction, reduces the directionality of H-bonding while increasing its dispersion and induction components. It also reduces the induction and increases dispersion component of the anion-{pi} stacking. The sulphur force-field parameters commonly employed in the literature do not reflect these distinctions, leading to unsatisfactory description of PT in simulations of the NSR. We show that it is not possible to accurately describe the PT interactions using one universal set of van der Waals sulphur parameters and provide suggestions for improving the force-field performance.

biophysics↗

bioRxiv2020

UNCG RNA tetraloop as a formidable force-field challenge for MD simulations

Explicit solvent atomistic molecular dynamics (MD) simulations represent an established technique to study structural dynamics of RNA molecules and an important complement for diverse experimental methods. However, performance of molecular mechanical (MM) force fields (ffs) remains far from satisfactory even after decades of development, as apparent from a problematic structural description of some important RNA motifs. Actually, some of the smallest RNA molecules belong to the most challenging systems for MD simulations and, among them, the UNCG tetraloop is saliently difficult. We report a detailed analysis of UNCG MD simulations, depicting the sequence of events leading to the loss of the UNCG native state during MD simulations. We identify molecular interactions, backbone conformations and substates that are involved in the process. The total amount of MD simulation data analyzed in this work is close to 1.3 millisecond. Then, we unravel specific ff deficiencies using diverse quantum mechanical/molecular mechanical (QM/MM) and QM calculations. Comparison between the MM and QM methods shows discrepancies in the description of the 5-flanking phosphate moiety and both signature sugar-base interactions. Our work indicates that poor behavior of the UNCG tetraloop in simulations is a complex issue that cannot be attributed to one dominant and straightforwardly correctable factor. Instead, there is a concerted effect of multiple ff inaccuracies that are coupled and amplifying each other. We attempted to improve the simulation behavior by some carefully-tailored interventions but the results are still far from satisfactory, underlying the difficulties in development of accurate nucleic acids ffs.

biophysics↗