The calculation of structural,elastic and phase stability properties of minerals using first principles techniques: A comparison of HF,DFT and Hybrid functional treatments of exchange and correlation

We benchmark the performance of four treatments of electron exchange and correlation in the prediction of structural and elastic properties of a range of minerals. The treatments used are the Hartree-Fock (HF) theory, the local density approximation (LDA) and the generalised gradient approximation (GGA) to the density functional theory (DFT) and Becke's three parameter hybrid functional (B3LYP). We find that the hybrid functional, B3LYP method yields computed elastic properties in significantly better agreement to experiment than HF or DFT-LDA and performs at least as well, if not better than the most successful DFT-GGA functionals. We suggest that B3LYP is a simple, reliable and computationally efficient tool for the ab initio simulation of mineral systems.     

Direct separation of α-hydroxy acid enantiomers by ligand exchange chromatography

Direct separation of several α-hydroxy acid racemic mixtures was performed by the aid of ligand exchange chromatography using L-hydroxyproline chemically bound to silica stationary phase and aqueous solutions of copper (II) sulphate as a mobile phase. The elution order of the D- and L-enantiomers of α-hydroxy acids is interpreted in terms of a modified Davankov's rule. Several aspects of the Davankov's model of selectand-Cu(II)-selector ternary complexes are discussed based on the theoretical calculations within the quantum mechanical semiempirical and density functional theories. Chirality 10:821–830, 1998. © 1998 Wiley-Liss, Inc.     

Gut power: Modulation of human amyloid formation by amyloidogenic proteins in the gastrointestinal tract

Protein assembly into amyloid fibers underlies many neurodegenerative disorders. In Parkinson's disease, amyloid formation of α-synuclein is linked to brain cell death. The gut–brain axis plays a key role in Parkinson's disease, and initial α-synuclein amyloid formation may occur distant from the brain. Because different amyloidogenic proteins can cross-seed, and α-synuclein is expressed outside the brain, amyloids present in the gut (from food products and secreted by microbiota) may modulate α-synuclein amyloid formation via direct interactions. I here describe existing such data that only began to appear in the literature in the last few years. The striking, but limited, data set—spanning from acceleration to inhibition—calls for additional investigations that may unravel disease mechanisms as well as new treatments.     

Plantecophys - An R Package for Analysing and Modelling Leaf Gas Exchange Data

Here I present the R package ''plantecophys'', a toolkit to analyse and model leaf gas exchange data. Measurements of leaf photosynthesis and transpiration are routinely collected with portable gas exchange instruments, and analysed with a few key models. These models include the Farquhar-von Caemmerer-Berry (FvCB) model of leaf photosynthesis, the Ball-Berry models of stomatal conductance, and the coupled leaf gas exchange model which combines the supply and demand functions for CO₂ in the leaf. The ''plantecophys'' R package includes functions for fitting these models to measurements, as well as simulating from the fitted models to aid in interpreting experimental data. Here I describe the functionality and implementation of the new package, and give some examples of its use. I briefly describe functions for fitting the FvCB model of photosynthesis to measurements of photosynthesis-CO₂ response curves (''A-C_i curves''), fitting Ball-Berry type models, modelling C3 photosynthesis with the coupled photosynthesis-stomatal conductance model, modelling C4 photosynthesis, numerical solution of optimal stomatal behaviour, and energy balance calculations using the Penman-Monteith equation. This open-source package makes technically challenging calculations easily accessible for many users and is freely available on CRAN.     

Association Between Pathophysiological Mechanisms of Diabetic Retinopathy and Parkinson’s Disease

Diabetic retinopathy, the most common complication of diabetes, is a neurodegenerative disease in the eye. And Parkinson's disease, affecting the health of 1–2% of people over 60 years old throughout the world, is the second largest neurodegenerative disease in the brain. As the understanding of diabetic retinopathy and Parkinson's disease deepens, the two diseases are found to show correlation in incidence, similarity in clinical presentation, and close association in pathophysiological mechanisms. To reveal the association between pathophysiological mechanisms of the two disease, in this review, the shared pathophysiological factors of diabetic retinopathy and Parkinson's disease are summarized and classified into dopaminergic system, circadian rhythm, neurotrophic factors, α-synuclein, and Wnt signaling pathways. Furthermore, similar and different mechanisms so far as the shared pathophysiological factors of the two disorders are discussed systematically. Finally, a brief summary and new perspectives are presented to provide new directions for further efforts on the association, exploration, and clinical prevention and treatment of diabetic retinopathy and Parkinson's disease.

     

Alzheimer's Disease Risk Assessment Using Large-Scale Machine Learning Methods

The goal of this work is to introduce new metrics to assess risk of Alzheimer''s disease (AD) which we call AD Pattern Similarity (AD-PS) scores. These metrics are the conditional probabilities modeled by large-scale regularized logistic regression. The AD-PS scores derived from structural MRI and cognitive test data were tested across different situations using data from the Alzheimer''s Disease Neuroimaging Initiative (ADNI) study. The scores were computed across groups of participants stratified by cognitive status, age and functional status. Cox proportional hazards regression was used to evaluate associations with the distribution of conversion times from mild cognitive impairment to AD. The performances of classifiers developed using data from different types of brain tissue were systematically characterized across cognitive status groups. We also explored the performance of anatomical and cognitive-anatomical composite scores generated by combining the outputs of classifiers developed using different types of data. In addition, we provide the AD-PS scores performance relative to other metrics used in the field including the Spatial Pattern of Abnormalities for Recognition of Early AD (SPARE-AD) index and total hippocampal volume for the variables examined.     

Carbon Emission Performance of China's Power Industry: Regional Disparity and Spatial Analysis

This study employs an undesirable‐output–oriented data envelopment analysis model to measure the carbon emission performance of the power industry throughout China's 30 administrative regions during the period of 2003–2012. Also, it further studies the regional disparity and spatial correlation of the carbon emission performance of China's power industry. The main findings are as follows: (1) The carbon emission performance of China's power industry is at a relatively low level, but shows a rising trend. (2) The regional carbon emission performance of China's power industry is extremely unbalanced: The eastern area ranks first, with the highest performance of 0.851, followed by the central area, whereas the western area falls behind, with the lowest performance of 0.760. Provinces in the eastern area generally perform better than those in other areas. (3) According to spatial analysis, the global Moran's I values of carbon emission performance are significantly positive during the sample period, which indicates that the carbon emission performance is a positive spatial correlation and has an obvious clustering effect. The estimate of the local spatial autocorrelation index confirms the imbalance of spatial distribution of the power sector's carbon emission performance. Based on the above findings, several policy suggestions are presented in this article.     

Energetics of multihelix interactions in protein folding: application to myoglobin

Conformational-energy calculations have been carried out in order to determine favorable packing arrangements within a group of α-helices. The influence of side chains and of the number of interacting α-helices on the mode of packing was analyzed. In this work, our earlier methods for computing the packing energy of a pair of α-helices [Chou, K.-C., Némethy, G. & Scheraga, H. A. (1984) J. Am. Chem. Soc. 106 , 3161–3170] have been extended to treat the interactions among several helices. Also, new algorithms allow the matching of standard peptide geometry to x-ray coordinates of helical complexes and the analysis of interrelations between several helices. As a specific test case, the packing of three neighboring α-helices, viz., the A, G, and H helices of sperm whale myoglobin, was considered. Minimum-energy arrangements were computed for the separate A-H and the G-H α-helix pairs as well as for the A-G-H three-helix complex. For the packing of the nearly antiparallel G and H α-helices, the same optimal structure was obtained in two- and three-helix complexes, indicating that a single packing arrangement is specifically favored by interhelix interactions. For the pair of nearly perpendicular A and H α-helices, interactions are less specific, so that there is no unique optimal structure in the two-helix complex; in the three-helix complex, however, a specific mode of packing is favored even for the A-H pair. This result indicates that the presence of other nearby α-helices can influence the packing of a given α-helix pair. The computed arrangement of the A-G-H complex is very close to that of the crystallographically determined structure. These results can be used to make deductions about the likely sequence of events in protein folding, where, in this particular case, it appears that the G-H helix pair may form first and then induce proper orientation of the A helix.     

Field Evaluation of Alternative Earthen Final Covers

Five methods to assess percolation rate from alternative earthen final covers (AEFCs) are described in the context of the precision with which the percolation rate can be estimated: trend analysis, tracer methods, water balance method, Darcy's Law calculations, and lysimetry. Trend evaluation of water content data is the least precise method because it cannot be used alone to assess the percolation rate. The precision of percolation rates estimated using tracer methods depends on the tracer concentration, percolation rate, and the sensitivity of the chemical extraction and analysis methods. Percolation rates determined using the water balance method have a precision of approximately 100 mm/yr in humid climates and 50 mm/yr in semiarid and drier climates, which is too large to demonstrate that an AEFC is meeting typical equivalency criterion (30 mm/yr or less). In most cases, the precision will be much poorer. Percolation rates computed using Darcy's Law with measured profiles of water content and matric suction typically have a precision that is about two orders of magnitude (or more) greater than the computed percolation rate. The Darcy's Law method can only be used for performance assessment if the estimated percolation rate is much smaller than the equivalency criterion and preferential flow is not present. Lysimetry provides the most precise estimates of percolation rate, but the precision depends on the method used to measure the collected water. The lysimeter used in the Alternative Cover Assessment Program (ACAP), which is described in this paper, can be used to estimate percolation rates with a precision between 0.00004 to 0.5 mm/yr, depending on the measurement method and the flow rates.     

Molecular Docking and Dynamic Simulation to Identify α7nAChR Binding Affinity of Flavonoids for the Treatment of Alzheimer's Disease

Background : Alpha-7-nicotinic acetylcholine receptor (α7nAChR), a ligand-gated ion channel is one of the important parts of the cholinergic pathway in the brain and has a remarkable role in Alzheimer's disease (AD). It has been documented that the modulation of α7nAChR with the help of phytoconstituent can be helpful in the treatment of AD. Method : The binding efficacy of fifty flavonoids was evaluated for human α7nAChR using molecular docking. The best two flavonoids shortlisted from docking analysis were then subjected to molecular dynamic simulations for 100 ns to analyze conformational binding stability with the target protein. Further, the druggability of the selected flavonoids was checked using in silico ADMET studies. Result : The top two flavonoids selected based on binding affinity toward the binding site of α7nAChR from molecular docking were amentoflavone (–9.1 kcal/mol) and gallocatechin (–8.8 kcal/mol). The molecular dynamics simulation revealed that amentoflavone and gallocatechin have a stable state during overall simulation time, lesser root mean deviation (RMSD) and root mean square fluctuation (RMSF), and complex of both compounds with protein is stable until 100 ns. Conclusion : The two flavonoids amentoflavone and gallocatechin are potential lead molecules that could be utilized as effective agonists of α7nAChR to combat Alzheimer's disease. Future in vitro and in vivo analyses are required to confirm their effectiveness.     

SARS-CoV-2 mediated neuroinflammation and the impact of COVID-19 in neurological disorders

SARS-CoV-2 is a novel coronavirus that severely affects the respiratory system, is the cause of the COVID-19 pandemic, and is projected to result in the deaths of 2 million people worldwide. Recent reports suggest that SARS-CoV-2 also affects the central nervous system along with other organs. COVID-19-associated complications are observed in older people with underlying neurological conditions like stroke, Alzheimer's disease, and Parkinson’s disease. Hence, we discuss SARS-CoV-2 viral replication and its inflammation-mediated infection. This review also focuses on COVID-19 associated neurological complications in individuals with those complications as well as other groups of people. Finally, we also briefly discuss the current therapies available to treat patients, as well as ongoing available treatments and vaccines for effective cures with a special focus on the therapeutic potential of a small 5 amino acid peptide (PHSCN), ATN-161, that inhibits SARS-CoV-2 spike protein binding to both integrin α5β1 and α5β1/hACE2.     

猪血清攻击后肝纤维化大鼠α-SMA、TIMP-1在肝组织内持续表达

目的猪血清法肝纤维化模型中,致纤维化因子停止作用于肝脏后α-SMA、TIMP-1阳性HSCs表型与组织中I型胶原表达的相关性。方法猪血清10周法制作大鼠肝纤维化模型,于造模6周、10周、14周和20周,免疫组织化学观察α-SMA、I型胶原,肝组织原位杂交法检测TIMP-1阳性表型HSCs在肝组织中的分布,计算机图像分析系统测定阳性比率,SPSS11.0分析各参数在肝纤维化进程中相关性。结果α-SMA于造模第6周、10周即有表达,主要分布于汇管区血管或中央静脉内膜下。于造模第14周、20周时持续表达。TIMP-1于造成模第6周时,表达也限于汇管区血管和中央静脉内膜下。造模第10周、14周时阳性表达率明显增加,向肝组织内伸展,并持续维持高阳性表达至造模第20周。α-SMA和TIMP-1在造模过程中随肝纤维化的进程呈显著正相关（r=0.989,P=0.000）,二者分别与Ⅰ型胶原呈显著正相关（r=0.893,P=0.000;r=0.923,P=0.000）。结论猪血清攻击法肝纤维化大鼠模型中,致纤维化因子启动肝纤维化进程,但不随致纤维化因子的终止而终止。所以,抗肝纤维化治疗成为治疗本病的关键。     

Development of the multiple sequence approximation within the AGADIR model of α-helix formation: Comparison with Zimm-Bragg and Lifson-Roig formalisms

In this work we present the development of the multiple sequence approximation (AGADIRms) and the standard one-sequence approximation (AGADIRIs) within the framework of AGADIR's α-helix formation model. The extensive comparison between these new formulations and the original one [AGADIR; v. Muñoz and L. Serrano (1994),Nat. Struct. Biol., Vol. 1, pp. 399–409] indicates that the standard one-sequence approximation is virtually identical to the multiple sequence approximation, while the previously used residue partition function approximation [Muñoz and Serrano (1994); (1995), J. Mol. Biol., Vol. 245, pp. 275–296] is less precise. The calculations of the average helical content performed with AGADIR are precise for peptides of less than 30 residues and progressively diverge from the multiple sequence formulation for longer peptides. The helicity distribution of heteropolypeptides with less than 50% average helical content is also well described, while those of quasi-homopolymers with high helical content tend to be flattened. These inaccuracies lead to an underestimation of 0.017 kcal/mol for the mean-residue enthalpic contribution in AGADIR, as compared to AGADIRms and AGADIRIs. The other energy contributions to α-helix stability are not affected by the original statistical approximation. We also discuss the particularities of the model for α-helix formation utilized in AGADIR and compare it with the classical Zimm-Bragg and Lifson-Roig theories. Moreover, we develop the mathematical relationships between the basic AGADIR energy contributions and helix nucleation and elongation, which permit the quantitative comparison between formalisms. Remarkably, the comparison between AGADIRms and the Lifson-Roig formalism shows that, despite the differences on treating helix/coil cooperativity, both theories give virtually identical results when an equivalent set of parameters is used. This indicates that the helix/coil transition is a solid theory independent of the particularities of the model for α-helix formation. © 1997 John Wiley & Sons, Inc. Biopoly 41: 495–509, 1997.     

Establishing mutual misunderstanding: a Buryat shamanic ritual in Ulaanbaatar

This article discusses a strange case of shamanic ritual performed for a Buryat family in Mongolia's capital city Ulaanbaatar. This performance not only differs from those described in the regional literature, but it also seems to challenge some of the models used to account for ritual efficacy. Indeed, while the cathartic use of Buryat traumatic history to deal with a patient's misfortune in shamanic rituals is quite well documented, this performance stands out for the uncompassionate hopelessness with which spirits spoke of the family's fate as exiles in Mongolia. Meanwhile, the ever‐growing tension between participants, which culminated in an open crisis, would be a sure sign of a ritual failure had it not been the clear result of the shaman's own efforts to establish mutual misunderstanding between the spirits, the patients, and herself. Drawing on a pragmatic approach to ritual efficacy, this article ponders on the specific purpose of a performance which seems to be aimed at creating a context of miscommunication between participants.     

Regulated Changes in the Acetylation of α-Tubulin on Lys40 during Growth and Organ Development in Fast Plants,Brassica rapa L.

Recently, we confirmed the widespread occurrence of α-tubulin acetylation on Lys⁴⁰ in angiosperms. In the present study, we found that α-tubulin acetylation is regulated in a growth stage- and organ development-dependent manner in the rapid cycling Brassica rapa, also known as Fast Plants. Organ distribution analysis showed that the proportion of acetylated α-tubulin is high in the cotyledons of young plants and in the true leaves and flowers of mature plants. A correlation between the increase in the levels of α-tubulin acetylation and the maturation of true leaves was observed. In the mature leaves, the acetylated α-tubulin showed an uneven distribution pattern, and the cells in the region of the leaf margins contained a high proportion of acetylated α-tubulin. These results indicate that α-tubulin acetylation is dynamically regulated in plant organs during development, and that it might play an important role in microtubule functioning throughout the angiosperm's life cycle.     

Behavioral Responses to Inequity in Reward Distribution and Working Effort in Crows and Ravens

Sensitivity to inequity is considered to be a crucial cognitive tool in the evolution of human cooperation. The ability has recently been shown also in primates and dogs, raising the question of an evolutionary basis of inequity aversion. We present first evidence that two bird species are sensitive to other individuals'' efforts and payoffs. In a token exchange task we tested both behavioral responses to inequity in the quality of reward (preferred versus non-preferred food) and to the absence of reward in the presence of a rewarded partner, in 5 pairs of corvids (6 crows, 4 ravens). Birds decreased their exchange performance when the experimental partner received the reward as a gift, which indicates that they are sensitive to other individuals'' working effort. They also decreased their exchange performance in the inequity compared with the equity condition. Notably, corvids refused to take the reward after a successful exchange more often in the inequity compared with the other conditions. Our findings indicate that awareness to other individuals'' efforts and payoffs may evolve independently of phylogeny in systems with a given degree of social complexity.     

Structure and dynamics of the M13 coat signal sequence in membranes by multidimensional high-resolution and solid-state NMR spectroscopy

The polypeptide corresponding to the signal sequence of the M13 coat protein and the five N-terminal residues of the mature protein was prepared by solid-phase peptide synthesis with a ¹⁵N isotopic label at the alanine-12 position. Multidimensional solution NMR spectroscopy and molecular modeling calculations indicate that this polypeptide assumes helical conformations between residues 5 and 20, in the presence of sodium dodecylsulfate micelles. This is in good agreement with circular dichroism spectroscopic measurement, which shows an α-helix content of approximately 42%. The α-helix comprises an uninterrupted hydrophobic stretch of ≤12 amino acids, which is generally believed to be too short for a stable transmembrane alignment in a biological bilayer. The monoexponential proton-deuterium exchange kinetics of this hydrophobic helical region is characterized by half-lives of 15–75 minutes (pH 4.2, 323 K). When the polypeptide is reconstituted into phospholipid bilayers, the broad anisotropy of the proton-decoupled ¹⁵N solid-state NMR spectroscopy indicates that the hydrophobic helix is immobilized close to the lipid bilayer surface at the time scale of ¹⁵N solid-state NMR spectroscopy (10⁻⁴ seconds). By contrast, short correlation times, immediate hydrogen-deuterium exchange as well as nuclear Overhauser effect crosspeak analysis suggest that the N and C termini of this polypeptide exhibit a mobile random coil structure. The implications of these structural findings for possible mechanisms of membrane insertion and translocation as well as for membrane protein structure prediction algorithms are discussed. © 1997 Wiley-Liss Inc.     

TESTING FOR PHYLOGENETIC SIGNAL IN BIOLOGICAL TRAITS: THE UBIQUITY OF CROSS‐PRODUCT STATISTICS

To evaluate rates of evolution, to establish tests of correlation between two traits, or to investigate to what degree the phylogeny of a species assemblage is predictive of a trait value so‐called tests for phylogenetic signal are used. Being based on different approaches, these tests are generally thought to possess quite different statistical performances. In this article, we show that the Blomberg et al. K and K*, the Abouheif index, the Moran's I, and the Mantel correlation are all based on a cross‐product statistic, and are thus all related to each other when they are associated to a permutation test of phylogenetic signal. What changes is only the way phylogenetic and trait similarities (or dissimilarities) among the tips of a phylogeny are computed. The definitions of the phylogenetic and trait‐based (dis)similarities among tips thus determines the performance of the tests. We shortly discuss the biological and statistical consequences (in terms of power and type I error of the tests) of the observed relatedness among the statistics that allow tests for phylogenetic signal. Blomberg et al. K* statistic appears as one on the most efficient approaches to test for phylogenetic signal. When branch lengths are not available or not accurate, Abouheif's C_mean statistic is a powerful alternative to K*.