Density Functional Theory Approach for Muon Sites Estimation in Mn3Sn

We report the estimation of muon sites inside Mn3Sn using density functional theory based on the full-potential linearized augmented plane wave (FLAPW) calculation. Our calculation shows that the Perdew–Burke–Ernzerhof (PBE) Generalized-Gradient Approximation (GGA) functional is closer to the experimental structure compared to the von Barth-Hedin Local Density Approximation (LDA)-optimized geometry. The PBE GGA is therefore subsequently used in FLAPW post-calculation for the electrostatic potential calculation to find the local minima position as a guiding strategy for estimating the muon site. Our result reveals at least two muon sites of which one is placed at the center between two Mn-Sn triangular layers (A site) and the other at the trigonal prismatic site of Sn atom (B site). The total energy of Mn3Sn system in the presence of muon at A site or B site are compared and we find that A site is a more favorable site for muon to stop.

Benchmarking Full-Potential Linearized Augmented Plane Wave (FLAPW) Method for Determination of Muon Stopping Sites in LiF

Muon stopping sites in Lithium Fluoride have been determined based on the minimum electrostatic potential calculation using density functional theory implemented in the full-potential linearized augmented planewave method. The isosurface of the electrostatic potential obtained in our calculation is similar to the calculation obtained by using pseudopotential-based plane wave (PPPW) method reported by Bernadini et al. [Physical Review B, 87 (2013) 115148]. This yields to the two possible muon sites inside the cage structure of Li-F forming tetrahedral coordination. One of the muon sites is located at the center of the tetrahedral while the other is at the equivalent site of the tetrahedral. In spite of the similar isosurface results, our global minimum is found at the center of the tetrahedral in contrast to the previous result obtained at the tetrahedral sites. The strategy to determine the muon possible sites based on the minimum of the total energy of the system will also be considered including the muon sites position between the two fluorine ions (F-).

Identifying Therapeutic Compounds Targeting RNA-Dependent-RNA-Polymerase of Sars-Cov-2

<p>COVID-19 emerged as the biggest threat of this century for mankind and later it spread across the globe through human to human transmission. Scientists rushed to understand the structure and mechanism of the virus so that antiviral drugs or vaccines to control this disease can be developed. A key to stop the progression of the disease is to inhibit the replication mechanism of Sars-Cov-2. RNA-dependent-RNA polymerase protein also called RdRp protein is the engine of Sars-Cov-2 that replicates the virus using viral RNA when it gains entry into the human cell. Numerous drugs proposed for the treatment of COVID-19 such as Camostat Mesylate, Remdesivir, Famotidine, Hesperidin, etc. are under trial to analyze the aftermath of their medicinal use. Nature is enriched with compounds that have antiviral activities and can potentially play a pivotal role to inhibit this virus. This study focuses on the phytochemicals that have the potential to exhibit antiviral activities. A large number of compounds were screened and a cohort of most suitable ones are suggested via in-silico techniques which are used worldwide for drug discovery such as docking, binding analysis, Universal Force Field Analysis, Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method, Molecular Dynamic Simulation, and Electrostatic Potential Calculation. The proposed compounds are naturally occurring substances with low toxicity, very few side effects, proven anti-pathogenic effects, and most importantly are easily available.</p>

Identifying Therapeutic Compounds Targeting RNA-Dependent-RNA-Polymerase of Sars-Cov-2

<p>COVID-19 emerged as the biggest threat of this century for mankind and later it spread across the globe through human to human transmission. Scientists rushed to understand the structure and mechanism of the virus so that antiviral drugs or vaccines to control this disease can be developed. A key to stop the progression of the disease is to inhibit the replication mechanism of Sars-Cov-2. RNA-dependent-RNA polymerase protein also called RdRp protein is the engine of Sars-Cov-2 that replicates the virus using viral RNA when it gains entry into the human cell. Numerous drugs proposed for the treatment of COVID-19 such as Camostat Mesylate, Remdesivir, Famotidine, Hesperidin, etc. are under trial to analyze the aftermath of their medicinal use. Nature is enriched with compounds that have antiviral activities and can potentially play a pivotal role to inhibit this virus. This study focuses on the phytochemicals that have the potential to exhibit antiviral activities. A large number of compounds were screened and a cohort of most suitable ones are suggested via in-silico techniques which are used worldwide for drug discovery such as docking, binding analysis, Universal Force Field Analysis, Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method, Molecular Dynamic Simulation, and Electrostatic Potential Calculation. The proposed compounds are naturally occurring substances with low toxicity, very few side effects, proven anti-pathogenic effects, and most importantly are easily available.</p>

Identifying Therapeutic Compounds Targeting RNA-Dependent-RNA-Polymerase of Sars-Cov-2

<p>COVID-19 emerged as the biggest threat of this century for mankind and later it spread across the globe through human to human transmission. Scientists rushed to understand the structure and mechanism of the virus so that antiviral drugs or vaccines to control this disease can be developed. A key to stop the progression of the disease is to inhibit the replication mechanism of Sars-Cov-2. RNA-dependent-RNA polymerase protein also called RdRp protein is the engine of Sars-Cov-2 that replicates the virus using viral RNA when it gains entry into the human cell. Numerous drugs proposed for the treatment of COVID-19 such as Camostat Mesylate, Remdesivir, Famotidine, Hesperidin, etc. are under trial to analyze the aftermath of their medicinal use. Nature is enriched with compounds that have antiviral activities and can potentially play a pivotal role to inhibit this virus. This study focuses on the phytochemicals that have the potential to exhibit antiviral activities. A large number of compounds were screened and a cohort of most suitable ones are suggested via in-silico techniques which are used worldwide for drug discovery such as docking, binding analysis, Universal Force Field Analysis, Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method, Molecular Dynamic Simulation, and Electrostatic Potential Calculation. The proposed compounds are naturally occurring substances with low toxicity, very few side effects, proven anti-pathogenic effects, and most importantly are easily available.</p>

Identifying Therapeutic Compounds Targeting RNA-Dependent-RNA-Polymerase of Sars-Cov-2

<p>COVID-19 emerged as the biggest threat of this century for mankind and later it spread across the globe through human to human transmission. Scientists rushed to understand the structure and mechanism of the virus so that antiviral drugs or vaccines to control this disease can be developed. A key to stop the progression of the disease is to inhibit the replication mechanism of Sars-Cov-2. RNA-dependent-RNA polymerase protein also called RdRp protein is the engine of Sars-Cov-2 that replicates the virus using viral RNA when it gains entry into the human cell. Numerous drugs proposed for the treatment of COVID-19 such as Camostat Mesylate, Remdesivir, Famotidine, Hesperidin, etc. are under trial to analyze the aftermath of their medicinal use. Nature is enriched with compounds that have antiviral activities and can potentially play a pivotal role to inhibit this virus. This study focuses on the phytochemicals that have the potential to exhibit antiviral activities. A large number of compounds were screened and a cohort of most suitable ones are suggested via in-silico techniques which are used worldwide for drug discovery such as docking, binding analysis, Universal Force Field Analysis, Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method, Molecular Dynamic Simulation, and Electrostatic Potential Calculation. The proposed compounds are naturally occurring substances with low toxicity, very few side effects, proven anti-pathogenic effects, and most importantly are easily available.</p>

Identifying Therapeutic Compounds Targeting RNA-Dependent-RNA-Polymerase of Sars-Cov-2

<p>COVID-19 emerged as the biggest threat of this century for mankind and later it spread across the globe through human to human transmission. Scientists rushed to understand the structure and mechanism of the virus so that antiviral drugs or vaccines to control this disease can be developed. A key to stop the progression of the disease is to inhibit the replication mechanism of Sars-Cov-2. RNA-dependent-RNA polymerase protein also called RdRp protein is the engine of Sars-Cov-2 that replicates the virus using viral RNA when it gains entry into the human cell. Numerous drugs proposed for the treatment of COVID-19 such as Camostat Mesylate, Remdesivir, Famotidine, Hesperidin, etc. are under trial to analyze the aftermath of their medicinal use. Nature is enriched with compounds that have antiviral activities and can potentially play a pivotal role to inhibit this virus. This study focuses on the phytochemicals that have the potential to exhibit antiviral activities. A large number of compounds were screened and a cohort of most suitable ones are suggested via in-silico techniques which are used worldwide for drug discovery such as docking, binding analysis, Universal Force Field Analysis, Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method, Molecular Dynamic Simulation, and Electrostatic Potential Calculation. The proposed compounds are naturally occurring substances with low toxicity, very few side effects, proven anti-pathogenic effects, and most importantly are easily available.</p>

Electrostatic potential calculation by application of walk-on-spheres method

The paper is devoted to mixed boundary-value problem solving for Laplace equation with the use of walk-on-spheres algorithm. The problem under study is reduced to finding a solution of integral equation with the kernel nonzero only at some sphere in the domain considered. Ulam-Neumann scheme is applied for integral equation solving; the appropriate Markov chain is introduced. The required solution value at a certain point of the domain is approximated by the expected value of special statistics defined on Markov paths. The algorithm presented guarantees the average Markov trajectory length to be finite and allows one to take into account boundary conditions on required solution derivative and to avoid Markov paths ending in the neighborhood of the boundaries where solution values are not given. The method is applied for calculation of electric potential in the injector of linear accelerator. The purpose of the work is to verify the applicability and effectiveness of walk-on-spheres method for mixed boundary-value problem solving with complicated boundary form and thus to demonstrate the suitability of Monte Carlo methods for electromagnetic fields simulation in beam forming systems. The numerical experiments performed confirm the simplicity and convenience of this method application for the problem considered.