Mechanisms by which small molecules of diverse chemotypes arrest Sec14 lipid transfer activity

Phosphatidylinositol (PtdIns) transfer proteins (PITPs) enhance the activities of PtdIns 4-OH kinases that generate signaling pools of PtdIns-4-phosphate. In that capacity, PITPs serve as key regulators of lipid signaling in eukaryotic cells. Although the PITP phospholipid exchange cycle is the engine that stimulates PtdIns 4-OH kinase activities, the underlying mechanism is not understood. Herein, we apply an integrative structural biology approach to investigate interactions of the yeast PITP Sec14 with small-molecule inhibitors (SMIs) of its phospholipid exchange cycle. Using a combination of X-ray crystallography, solution NMR spectroscopy, and atomistic MD simulations, we dissect how SMIs compete with native Sec14 phospholipid ligands and arrest phospholipid exchange. Moreover, as Sec14 PITPs represent new targets for the development of next-generation antifungal drugs, the structures of Sec14 bound to SMIs of diverse chemotypes reported in this study will provide critical information required for future structure-based design of next-generation lead compounds directed against Sec14 PITPs of virulent fungi.

Clinical Characteristics of Cataract Patients and Outcome of Cataract Surgery in Tertiary Care Hospital in Central Nepal

Background Cataract remains the leading cause of avoidable blindness in low-income countries such as Nepal. Despite the availability of surgical interventions for cataract in leading institutions, still a large number of patients from remote areas delay or have difficulty in getting treatment, present late or with complications. Objective To determine the clinical characteristics and visual outcome of patients undergoing cataract surgery in Tertiary Care Hospital in Central Nepal. Method We retrospectively reviewed the medical records of 138 patients who underwent cataract surgery at a tertiary care hospital from January 2018 to September 2022. R version 4.0.3 was used for the data analysis. Categorical variables are presented as frequency (percentages) and the numerical ones are presented as mean (standard deviation). Result During follow-up visits between one to three weeks, 91.9% out of 135 patients had normal/near normal presenting visual acuity and with best correction it was 96.9% out of 131 patients. About 1.6% out of 124 operated eyes still had moderate visual impairment after best correction when they visited for follow-up at 12 weeks. Conclusion The study findings underline the ongoing gap in increasing access to cataract treatment, given the large proportion of individuals who still presented extremely late.

Awareness and Knowledge of Glaucoma and their Associated Factors among Staffs in a Tertiary-level Hospital in Central Nepal

Background Since glaucoma-related blindness may only be prevented with early identification and treatment, finding asymptomatic individuals in the target population is critical. It is thus important to determine the awareness and knowledge on glaucoma. Objective To determine the knowledge and awareness on glaucoma among the staff of a tertiary level hospital in central Nepal. Method This was a cross sectional study among the staffs of Dhulikhel Hospital who participated voluntarily in the study. The data was collected through the administration of semi-structured questionnaires. R version 4.0.3 (2020-10-10) was used for the data analysis. Categorical variables are presented as frequency (percentages) and the numerical ones are presented as mean (standard deviation). Adjusted odds ratio (AOR) with 95% confidence interval were estimated through logistic regression analysis for determining factors associated with awareness and knowledge of glaucoma. Result A total of 107 (89.2%) participants had heard about glaucoma of which 93 (86.9%) had good knowledge and 14(13.1%) had poor knowledge on glaucoma. The mean score of knowledge was 64.1±16.9. Only 47.7% of the participants said that glaucoma also has an asymptomatic course. We could not find an association of awareness and knowledge of glaucoma with any of the selected sociodemographic variables. Conclusion Although there was a fairly good glaucoma related awareness and knowledge among hospital staff, we found lack of understanding on some critical issues on glaucoma, mainly related to its asymptomatic nature. There is thus room for improvement in educating about glaucoma even in healthcare settings. Given the necessity of expanding glaucoma awareness in the public, hospital staff might potentially serve as messengers to the communities.

Competing magnetic phases and fluctuation-driven scalar spin chirality in the kagome metal YMn6Sn6

Identification, understanding, and manipulation of novel magnetic textures are essential for the discovery of new quantum materials for future spin-based electronic devices. In particular, materials that manifest a large response to external stimuli such as a magnetic field are subject to intense investigation. Here, we study the kagome-net magnet YMn₆Sn₆ by magnetometry, transport, and neutron diffraction measurements combined with first-principles calculations. We identify a number of nontrivial magnetic phases, explain their microscopic nature, and demonstrate that one of them hosts a large topological Hall effect (THE). We propose a previously unidentified fluctuation-driven mechanism, which leads to the THE at elevated temperatures. This interesting physics comes from parametrically frustrated interplanar exchange interactions that trigger strong magnetic fluctuations. Our results pave a path to chiral spin textures, promising for novel spintronics.

Thermodynamic Dissection of the Intercalation Binding Process of Doxorubicin to dsDNA with Implications of Ionic and Solvent Effects

Doxorubicin (DOX) is a cancer drug that binds to dsDNA through intercalation. A comprehensive microsecond timescale molecular dynamics study is performed for DOX with 16 tetradecamer dsDNA sequences in explicit aqueous solvent, in order to investigate the intercalation process at both binding stages (conformational change and insertion binding stages). The molecular mechanics generalized Born surface area (MM-GBSA) method is adapted to quantify and break down the binding free energy (BFE) into its thermodynamic components, for a variety of different solution conditions as well as different DNA sequences. Our results show that the van der Waals interaction provides the largest contribution to the BFE at each stage of binding. The sequence selectivity depends mainly on the base pairs located downstream from the DOX intercalation site, with a preference for (AT)₂ or (TA)₂ driven by the favorable electrostatic and/or van der Waals interactions. Invoking the quartet sequence model proved to be most successful to predict the sequence selectivity. Our findings also indicate that the aqueous bathing solution (i.e., water and ions) opposes the formation of the DOX-DNA complex at every binding stage, thus implying that the complexation process preferably occurs at low ionic strength and is crucially dependent on solvent effects.

Synthesis of monodisperse rod-shaped silica particles through biotemplating of surface-functionalized bacteria

Mesoporous silica particles of controlled size and shape are potentially beneficial for many applications, but their usage may be limited by the complex procedure of fabrication. Biotemplating provides a facile approach to synthesize materials with desired shapes. Herein, a bioinspired design principle is adopted through displaying silaffin-derived 5R5 proteins on the surface of Escherichia coli by genetic manipulations. The genetically modified Escherichia coli provides a three-dimensional template to regulate the synthesis of rod-shaped silica. The silicification is initiated on the cell surface under the functionality of 5R5 proteins and subsequentially the inner space is gradually filled. Density functional theory simulation reveals the interfacial interactions between silica precursors and R5 peptides at the atomic scale. There is a large conformation change of this protein during biosilicification. Electrostatic interactions contribute to the high affinity between positively charged residues (Lys4, Arg16, Arg17) and negatively charged tetraethyl orthosilicate. Hydrogen bonds develop between Arg16 (OH), Arg17 (OH and NH), Leu19 (OH) residues and the forming silica agglomerates. In addition, the resulting rod-shaped silica copy of the bacteria can transform into mesoporous SiOx nanorods composed of carbon-coated nanoparticles after carbonization, which is shown to allow superior lithium storage performance.

Interfacial Interaction between Suolunite Crystal and Silica Binding Peptide for Novel Bioinspired Cement

Cement and concrete have been important construction materials throughout human history. There is an urgent need to explore novel and untraditional cementitious materials to enhance the durability of building materials and structures in response to increased infrastructure demand worldwide. We report an exploratory study on a biocomposite cement based on a large-scale computational study using density functional theory. An explicitly solvated mixture of a mineral calcium silicate hydrate (C-S-H) crystal suolunite (Ca₂Si₂O₅(OH)₂·H₂O) and a silicon binding peptide with amino acid sequence PRO-PRO-PRO-TRP-LEU-PRO-TYR-MET-PRO-PRO-TRP-SER is constructed using ab initio molecular dynamics (AIMD). Detailed analysis on the interface structure, interatomic bonding, mechanical properties, and solvent effect of this model reveals a complex interplay of different types of covalent and ionic bonding, including ubiquitous hydrogen bonding which plays a crucial role in their properties. The use of the total bond order density (TBOD), a single quantum mechanical metric, for assessing the interfacial cohesion for this composite biocement is proposed. We find that the solvated model has a slightly larger TBOD than the dried one. These results could lead to a systematic search and rational design for different types of bioinspired and hybrid functional materials with other inorganic minerals and organic peptides.

Molecular mechanism and binding free energy of doxorubicin intercalation in DNA

The intercalation process of binding doxorubicin (DOX) in DNA is studied by extensive MD simulations. Many molecular factors that control the binding affinity of DOX to DNA to form a stable complex are inspected and quantified by employing continuum solvation models for estimating the binding free energy. The modified MM-PB(GB)SA methodology provides a complete energetic profile of ΔGele, ΔGvDW, ΔGpolar, ΔGnon-polar, TΔStotal, ΔGdeform, ΔGcon, and ΔGion. To identify the sequence specificity of DOX, two different DNA sequences, d(CGATCG) or DNA1 and d(CGTACG) or DNA2, with one molecule (1 : 1 complex) or two molecule (2 : 1 complex) configurations of DOX were selected in this study. Our results show that the DNA deformation energy (ΔGdeform), the energy cost from translational and rotational entropic contributions (TΔStran+rot), the total electrostatic interactions (ΔGpolar-PB/GB + ΔGele) of incorporation, the intramolecular electrostatic interactions (ΔGele) and electrostatic polar solvation interactions (ΔGpolar-PB/GB) are all unfavorable to the binding of DOX to DNA. However, they are overcome by at least five favorable interactions: the van der Waals interactions (ΔGvDW), the non-polar solvation interaction (ΔGnon-polar), the vibrational entropic contribution (TΔSvib), and the standard concentration dependent free energies of DOX (ΔGcon) and the ionic solution (ΔGion). Specifically, the van der Waals interaction appears to be the major driving force to form a stable DOX-DNA complex. We also predict that DOX has stronger binding to DNA1 than DNA2. The DNA deformation penalty and entropy cost in the 2 : 1 complex are less than those in the 1 : 1 complex, thus they indicate that the 2 : 1 complex is more stable than the 1 : 1 complex. We have calculated the total binding free energy (BFE) (ΔGt-sim) using both MM-PBSA and MM-GBSA methods, which suggests a more stable DOX-DNA complex at lower ionic concentration. The calculated BFE from the modified MM-GBSA method for DOX-DNA1 and DOX-DNA2 in the 1 : 1 complex is -9.1 and -5.1 kcal mol-1 respectively. The same quantities from the modified MM-PBSA method are -12.74 and -8.35 kcal mol-1 respectively. The value of the total BFE ΔGt-sim in the 1 : 1 complex is in reasonable agreement with the experimental value of -7.7 ± 0.3 kcal mol-1.

Implication of the solvent effect, metal ions and topology in the electronic structure and hydrogen bonding of human telomeric G-quadruplex DNA

We present a first-principles density functional study elucidating the effects of solvent, metal ions and topology on the electronic structure and hydrogen bonding of 12 well-designed three dimensional G-quadruplex (G4-DNA) models in different environments. Our study shows that the parallel strand structures are more stable in dry environments and aqueous solutions containing K(+) ions within the tetrad of guanine but conversely, that the anti-parallel structure is more stable in solutions containing the Na(+) ions within the tetrad of guanine. The presence of metal ions within the tetrad of the guanine channel always enhances the stability of the G4-DNA models. The parallel strand structures have larger HOMO-LUMO gaps than antiparallel structures, which are in the range of 0.98 eV to 3.11 eV. Partial charge calculations show that sugar and alkali ions are positively charged whereas nucleobases, PO4 groups and water molecules are all negatively charged. Partial charges on each functional group with different signs and magnitudes contribute differently to the electrostatic interactions involving G4-DNA and favor the parallel structure. A comparative study between specific pairs of different G4-DNA models shows that the Hoogsteen OH and NH hydrogen bonds in the guanine tetrad are significantly influenced by the presence of metal ions and water molecules, collectively affecting the structure and the stability of G4-DNA.

Impact of Hydrogen Bonding in the Binding Site between Capsid Protein and MS2 Bacteriophage ssRNA

MS2 presents a well-studied example of a single-stranded RNA virus for which the genomic RNA plays a pivotal role in the virus assembly process based on the packaging signal-mediated mechanism. Packaging signals (PSs) are multiple dispersed RNA sequence/structure motifs varying around a central recognition motif that interact in a specific way with the capsid protein in the assembly process. Although the discovery and identification of these PSs was based on bioinformatics and geometric approaches, in tandem with sophisticated experimental protocols, we approach this problem using large-scale ab initio computation centered on critical aspects of the consensus protein-RNA interactions recognition motif. DFT calculations are carried out on two nucleoprotein complexes: wild-type and mutated (PDB IDs: 1ZDH and 5MSF ). The calculated partial charge distribution of residues and the strength of hydrogen bonding (HB) between them enabled us to locate the exact binding sites with the strongest HBs, identified to be LYS43-A^-4, ARG49-C^-13, TYR85-C^-5, and LYS61-C^-5, due to the change in the sequence of the mutated RNA.

Candidate Elastic Quantum Critical Point in LaCu_{6-x}Au_{x}

The structural properties of LaCu_{6-x}Au_{x} are studied using neutron diffraction, x-ray diffraction, and heat capacity measurements. The continuous orthorhombic-monoclinic structural phase transition in LaCu_{6} is suppressed linearly with Au substitution until a complete suppression of the structural phase transition occurs at the critical composition x_{c}=0.3. Heat capacity measurements at low temperatures indicate residual structural instability at x_{c}. The instability is ferroelastic in nature, with density functional theory calculations showing negligible coupling to electronic states near the Fermi level. The data and calculations presented here are consistent with the zero temperature termination of a continuous structural phase transition suggesting that the LaCu_{6-x}Au_{x} series hosts an elastic quantum critical point.

Anisotropic Exchange within Decoupled Tetrahedra in the Quantum Breathing Pyrochlore Ba_{3}Yb_{2}Zn_{5}O_{11}

The low energy spin excitation spectrum of the breathing pyrochlore Ba_{3}Yb_{2}Zn_{5}O_{11} has been investigated with inelastic neutron scattering. Several nearly resolution limited modes with no observable dispersion are observed at 250 mK while, at elevated temperatures, transitions between excited levels become visible. To gain deeper insight, a theoretical model of isolated Yb^{3+} tetrahedra parametrized by four anisotropic exchange constants is constructed. The model reproduces the inelastic neutron scattering data, specific heat, and magnetic susceptibility with high fidelity. The fitted exchange parameters reveal a Heisenberg antiferromagnet with a very large Dzyaloshinskii-Moriya interaction. Using this model, we predict the appearance of an unusual octupolar paramagnet at low temperatures and speculate on the development of intertetrahedron correlations.

Optical properties and electronic transitions of DNA oligonucleotides as a function of composition and stacking sequence

The role of base pair composition and stacking sequence in the optical properties and electronic transitions of DNA is of fundamental interest. We present and compare the optical properties of DNA oligonucleotides (AT)10, (AT)5(GC)5, and (AT-GC)5 using both ab initio methods and UV-vis molar absorbance measurements. Our data indicate a strong dependence of both the position and intensity of UV absorbance features on oligonucleotide composition and stacking sequence. The partial densities of states for each oligonucleotide indicate that the valence band edge arises from a feature associated with the PO4(3-) complex anion, and the conduction band edge arises from anti-bonding states in DNA base pairs. The results show a strong correspondence between the ab initio and experimentally determined optical properties. These results highlight the benefit of full spectral analysis of DNA, as opposed to reductive methods that consider only the 260 nm absorbance (A260) or simple purity ratios, such as A260/A230 or A260/A280, and suggest that the slope of the absorption edge onset may provide a useful metric for the degree of base pair stacking in DNA. These insights may prove useful for applications in biology, bioelectronics, and mesoscale self-assembly.

van der Waals Interactions on the Mesoscale: Open-Science Implementation, Anisotropy, Retardation, and Solvent Effects

The self-assembly of heterogeneous mesoscale systems is mediated by long-range interactions, including van der Waals forces. Diverse mesoscale architectures, built of optically and morphologically anisotropic elements such as DNA, collagen, single-walled carbon nanotubes, and inorganic materials, require a tool to calculate the forces, torques, interaction energies, and Hamaker coefficients that govern assembly in such systems. The mesoscale Lifshitz theory of van der Waals interactions can accurately describe solvent and temperature effects, retardation, and optically and morphologically anisotropic materials for cylindrical and planar interaction geometries. The Gecko Hamaker open-science software implementation of this theory enables new and sophisticated insights into the properties of important organic/inorganic systems: interactions show an extended range of magnitudes and retardation rates, DNA interactions show an imprint of base pair composition, certain SWCNT interactions display retardation-dependent nonmonotonicity, and interactions are mapped across a range of material systems in order to facilitate rational mesoscale design.

Quantum critical fluctuations in the heavy fermion compound Ce(Ni0.935Pd0.065)₂Ge₂

Electric resistivity, specific heat, magnetic susceptibility, and inelastic neutron scattering experiments were performed on a single crystal of the heavy fermion compound Ce(Ni0.935Pd0.065)2Ge2 in order to study the spin fluctuations near an antiferromagnetic (AF) quantum critical point (QCP). The resistivity and the specific heat coefficient for T ⩽ 1 K exhibit the power law behavior expected for a 3D itinerant AF QCP (ρ(T) ∼ T(3/2) and γ(T) ∼ γ0 - bT(1/2)). However, for 2 ⩽ T ⩽ 10 K, the susceptibility and specific heat vary as log T and the resistivity varies linearly with temperature. Furthermore, despite the fact that the resistivity and specific heat exhibit the non-Fermi liquid behavior expected at a QCP, the correlation length, correlation time, and staggered susceptibility of the spin fluctuations remain finite at low temperature. We suggest that these deviations from the divergent behavior expected for a QCP may result from alloy disorder.

Electronic structure, stacking energy, partial charge, and hydrogen bonding in four periodic B-DNA models

We present a theoretical study of the electronic structure of four periodic B-DNA models labeled (AT)(10), (GC)(10), (AT)(5)(GC)(5), and (AT-GC)(5) where A denotes adenine, T denotes thymine, G denotes guanine, and C denotes cytosine. Each model has ten base pairs with Na counterions to neutralize the negative phosphate group in the backbone. The (AT)(5)(GC)(5) and (AT-GC)(5) models contain two and five AT-GC bilayers, respectively. When compared against the average of the two pure models, we estimate the AT-GC bilayer interaction energy to be 19.015 Kcal/mol, which is comparable to the hydrogen bonding energy between base pairs obtained from the literature. Our investigation shows that the stacking of base pairs plays a vital role in the electronic structure, relative stability, bonding, and distribution of partial charges in the DNA models. All four models show a highest occupied molecular orbital (HOMO) to lowest unoccupied molecular orbital (LUMO) gap ranging from 2.14 to 3.12 eV with HOMO states residing on the PO(4) + Na functional group and LUMO states originating from the bases. Our calculation implies that the electrical conductance of a DNA molecule should increase with increased base-pair mixing. Interatomic bonding effects in these models are investigated in detail by analyzing the distributions of the calculated bond order values for every pair of atoms in the four models including hydrogen bonding. The counterions significantly affect the gap width, the conductivity, and the distribution of partial charge on the DNA backbone. We also evaluate quantitatively the surface partial charge density on each functional group of the DNA models.