The free energy of locking a ring: Changing a deoxyribonucleoside to a locked nucleic acid

Repulsive Soft-Core Potentials for Efficient Alchemical Free Energy Calculations

In alchemical free energy (FE) simulations, annihilation and creation of atoms are generally achieved with the soft-core potential that shifts the interparticle separations. While this soft-core potential eliminates the numerical instability occurring near the two end states of the transformation, it makes the hybrid Hamiltonian vary nonlinearly with respect to the parameter λ, which interpolates between the Hamiltonians representing the two end states. This complicates FE estimation by Bennett acceptance ratio (BAR), free energy perturbation (FEP), and thermodynamic integration (TI) methods, thus reducing their calculation efficiency. In this work, we develop a new type of repulsive soft-core potential, called Gaussian soft-core (GSC) potential, with two parameters controlling its maximum and width. The main advantage of this potential is the linearity of the hybrid Hamiltonian with respect to λ, thus permitting the direct application of BAR, FEP, TI, and other variant FE methods. The accuracy and efficiency of the GSC potential are demonstrated by comparing the free energies of annihilation determined for 13 small molecules and an alchemical mutation of a protein side chain. In addition, in combination with a TI integrand (∂H/∂λ) estimation strategy, we show that GSC can considerably reduce the number of λ simulations compared to the commonly used separation-shifted soft-core potential.

Molecular Dynamics Study of the Hybridization between RNA and Modified Oligonucleotides

MicroRNAs (miRNAs) are attractive drug candidates for many diseases as they can modulate the expression of gene networks. Recently, we discovered that DNAs targeting microRNA-22-3p (miR-22-3p) hold the potential for treating obesity and related metabolic disorders (type 2 diabetes mellitus, hyperlipidemia, and nonalcoholic fatty liver disease (NAFLD)) by turning fat-storing white adipocytes into fat-burning adipocytes. In this work, we explored the effects of chemical modifications, including phosphorothioate (PS), locked nucleic acid (LNA), and peptide nucleic acid (PNA), on the structure and energy of DNA analogs by using molecular dynamics (MD) simulations. To achieve a reliable prediction of the hybridization free energy, the AMOEBA polarizable force field and the free energy perturbation technique were employed. The calculated hybridization free energies are generally compatible with previous experiments. For LNA and PNA, the enhanced duplex stability can be explained by the preorganization mechanism, i.e., the single strands adopt stable helical structures similar to those in the duplex. For PS, the S and R isomers (Sp and Rp) have preferences for C2'-endo and C3'-endo sugar puckering conformations, respectively, and therefore Sp is less stable than Rp in DNA/RNA hybrids. In addition, the solvation penalty of Rp accounts for its destabilization effect. PS-LNA is similar to LNA as the sugar puckering is dominated by the locked sugar ring. This work demonstrated that MD simulations with polarizable force fields are useful for the understanding and design of modified nucleic acids.

Modeling and Simulation of Oligonucleotide Hybrids: Outlining a Strategy

Molecular dynamics simulations with a state-of-the-art force field provide an atomistic detailed description of the structural and thermodynamic features of biomolecules. Effects of chemical modifications and of the environment such as sequence, solvent, and ionic strength can explicitly be taken into account. Molecular simulation techniques can also provide insight in change in binding affinity, in protonation (pK_a shift) and tautomeric propensity due to changes in the environment or in the molecular system. The quality and reliability of a simulation depend on the quality of the force field and on the reproducibility of the data, and validation depends on the availability of suitable experimental data. Here, we describe the workflow to investigate oligonucleotide hybrids using molecular simulation including hardware and software information.

Modeling p K Shift in DNA Triplexes Containing Locked Nucleic Acids

The protonation states for nucleic acid bases are difficult to assess experimentally. In the context of DNA triplex, the protonation state of cytidine in the third strand is particularly important, because it needs to be protonated in order to form Hoogsteen hydrogen bonds. A sugar modification, locked nucleic acid (LNA), is widely used in triplex forming oligonucleotides to target sites in the human genome. In this study, the parameters for LNA are developed in line with the CHARMM nucleic acid force field and validated toward the available structural experimental data. In conjunction, two computational methods were used to calculate the protonation state of the third strand cytidine in various DNA triplex environments: λ-dynamics and multiple pH regime. Both approaches predict p K of this cytidine shifted above physiological pH when cytidine is in the third strand in a triplex environment. Both methods show an upshift due to cytidine methylation, and a small downshift when the sugar configuration is locked. The predicted p K values for cytidine in DNA triplex environment can inform the design of better-binding oligonucleotides.

Structural Articulation of Biochemical Reactions Using Restrained Geometries and Topology Switching

A strategy named "restrained geometries and topology switching" (RGATS) is presented to obtain detailed trajectories for complex biochemical reactions using molecular mechanics (MM) methods. It enables prediction of realistic dynamical pathways for chemical reactions, especially for accurately characterizing the structural adjustments of highly complex environments to any proximal biochemical reaction. It can be used to generate reactive conformations, model stepwise or concerted reactions in complex environments, and probe the influence of changes in the environment. Its ability to take reactively nonoptimal conformations and generate favorable starting conformations for a biochemical reaction is illustrated for a proton transfer between two model compounds. Its ability to study concerted reactions in explicit solvent is illustrated using proton transfers between an ammonium ion and two conserved histidines in an ammonia transporter channel embedded in a lipid membrane. Its ability to characterize the changes induced by subtle differences in the active site environment is illustrated using nucleotide addition by a DNA polymerase in the presence of two versus three Mg²⁺ ions. RGATS can be employed within any MM program and requires no additional software implementation. This allows the full assortment of computational methods implemented in all available MM programs to be used to tackle virtually any question about biochemical reactions that is answerable without using a quantum mechanical (QM) model. It can also be applied to generate reasonable starting structures for more detailed and expensive QM or QM/MM methods. In particular, this strategy enables rapid prediction of reactant, intermediary, or product state structures in any macromolecular context, with the only requirement being that the structure in any one of these states is either known or can be accurately modeled.

Antiviral effect of hepatitis B virus S gene-specific anti-gene locked nucleic acid in hepatitis B virus transgenic mice

AIM

To investigate the antiviral effect of hepatitis B virus (HBV) S gene-specific anti-gene locked nucleic acid (LNA) in transgenic mice.

METHODS

Thirty HBV transgenic mice were randomly divided into 5 groups (n = 6 each): blank control group, negative control group (unrelated sequence), lamivudine group, antisense-LNA treatment group, and anti-gene LNA treatment group. LNA was injected into transgenic mice via the tail vein, and lamivudine was given by gavage. Serum HBV DNA was tested by real-time PCR; serum hepatitis B surface antigen (HBsAg) was determined by ELISA; the mRNA level of HBV S gene was detected by RT-PCR; and the positive rate of HBsAg in liver cells was detected by immunohistochemistry.

RESULTS

On 3, 5, and 7 d after anti-gene LNA treatment, HBV DNA was reduced by 37.18%, 50.27%, and 61.46%, respectively, and HBsAg was reduced by 30.17%, 44%, and 57.76%, respectively; there was a significant difference in HBV DNA and HBsAg compared with those before administration (P < 0.05) or compared with control groups (blank control, negative control, lamivudine, and antisense-LNA) (P < 0.05). The mRNA level of HBV S gene (0.33) and the HBsAg positive rate of liver cells (31%) were significantly reduced compared with control groups (P < 0.05). The function of liver and kidney tests and tissue HE staining showed no abnormal changes.

CONCLUSION

Anti-gene LNA targeting the S gene has a strong inhibitory effect on HBV replication and expression in HBV transgenic mice, and this provides experimental basis for gene therapy of HBV.

Locked nucleic acid: modality, diversity, and drug discovery

Over the past 20 years, the field of RNA-targeted therapeutics has advanced based on discoveries of modified oligonucleotide chemistries, and an ever-increasing understanding of how to apply cellular assays to identify oligonucleotides with improved pharmacological properties in vivo. Locked nucleic acid (LNA), which exhibits high binding affinity and potency, is widely used for this purpose. Our understanding of RNA biology has also expanded tremendously, resulting in new approaches to engage RNA as a therapeutic target. Recent observations indicate that each oligonucleotide is a unique entity, and small structural differences between oligonucleotides can often lead to substantial differences in their pharmacological properties. Here, we outline new principles for drug discovery exploiting oligonucleotide diversity to identify rare molecules with unique pharmacological properties.

The free energy of locking a ring: Changing a deoxyribonucleoside to a locked nucleic acid

Locked nucleic acid (LNA), a modified nucleoside which contains a bridging group across the ribose ring, improves the stability of DNA/RNA duplexes significantly, and therefore is of interest in biotechnology and gene therapy applications. In this study, we investigate the free energy change between LNA and DNA nucleosides. The transformation requires the breaking of the bridging group across the ribose ring, a problematic transformation in free energy calculations. To address this, we have developed a 3-step (easy to implement) and a 1-step protocol (more efficient, but more complicated to setup), for single and dual topologies in classical molecular dynamics simulations, using the Bennett Acceptance Ratio method to calculate the free energy. We validate the approach on the solvation free energy difference for the nucleosides thymidine, cytosine, and 5-methyl-cytosine. © 2017 The Authors. Journal of Computational Chemistry Published by Wiley Periodicals, Inc.