Biomarkers in Human and Environmental Health Risk Studies

Uncertainties in human health risk assessment, and the measuring on the impacts of contaminants have attracted great concern. Uncertainties, source-to-outcome, exposure assessment, hazard and risk characterisations are a number of techniques that have been applied to maximize results. Experts’ opinions and quantitative tools have been applied to narrow the gap between data and rules for regulatory purposes. Bio monitoring information, in vitro data streams and computational toxicology are major areas for human health risk assessment. A need for a biomarkers data bank is of utmost need to minimize uncertainties in the toxicological environmental human health risk assessment field

Biomarkers in Human and Environmental Health Risk Studies

Uncertainties in human health risk assessment, and the measuring on the impacts of contaminants have attracted great concern. Uncertainties, source-to-outcome, exposure assessment, hazard and risk characterisations are a number of techniques that have been applied to maximize results. Experts’ opinions and quantitative tools have been applied to narrow the gap between data and rules for regulatory purposes. Bio monitoring information, in vitro data streams and computational toxicology are major areas for human health risk assessment. A need for a biomarkers data bank is of utmost need to minimize uncertainties in the toxicological environmental human health risk assessment field

An Algorithm for Data Hiding in Radiographic Images and ePHI/R Application

Telemedicine is the use of Information and Communication Technology (ICT) for clinical health care from a distance. The exchange of radiographic images and electronic patient health information/records (ePHI/R) for diagnostic purposes has the risk of confidentiality, ownership identity, and authenticity. In this paper, a data hiding technique for ePHI/R is proposed. The color information in the cover image is used for key generation, and stego-images are produced with ideal case. As a result, the whole stego-system is perfectly secure. This method includes the features of watermarking and steganography techniques. The method is applied to radiographic images. For the radiographic images, this method resembles watermarking, which is an ePHI/R data system. Experiments show promising results for the application of this method to radiographic images in ePHI/R for both transmission and storage purpose

SAR, Molecular Docking and Molecular Dynamic Simulation of Natural Inhibitors against SARS-CoV-2 Mpro Spike Protein

The SARS-CoV-2 virus and its mutations have affected human health globally and created significant danger for the health of people all around the world. To cure this virus, the human Angiotensin Converting Enzyme-2 (ACE2) receptor, the SARS-CoV-2 main protease (Mpro), and spike proteins were found to be likely candidates for the synthesis of novel therapeutic drug. In the past, proteins were capable of engaging in interaction with a wide variety of ligands, including both manmade and plant-derived small molecules. Pyrus communis L., Ginko bibola, Carica papaya, Syrian rue, and Pimenta dioica were some of the plant species that were studied for their tendency to interact with SARS-CoV-2 main protease (Mpro) in this research project (6LU7). This scenario investigates the geometry, electronic, and thermodynamic properties computationally. Assessing the intermolecular forces of phytochemicals with the targets of the SARS-CoV-2 Mpro spike protein (SP) resulted in the recognition of a compound, kaempferol, as the most potent binding ligand, −7.7 kcal mol−1. Kaempferol interacted with ASP-187, CYS-145, SER-144, LEU 141, MET-165, and GLU-166 residues. Through additional molecular dynamic simulations, the stability of ligand–protein interactions was assessed for 100 ns. GLU-166 remained intact with 33% contact strength with phenolic OH group. We noted a change in torsional conformation, and the molecular dynamics simulation showed a potential variation in the range from 3.36 to 7.44 against a 45–50-degree angle rotation. SAR, pharmacokinetics, and drug-likeness characteristic investigations showed that kaempferol may be the suitable candidate to serve as a model for designing and developing new anti-COVID-19 medicines