The Second Round of a Population-Based Seroprevalence Study of Anti-SARS-CoV-2 Antibodies and COVID-19 Vaccination Assessment in the Republika Srpska, Bosnia and Herzegovina.

Introduction: The aim of the study was to assess the seroprevalence of SARS-CoV-2 in the Republika Srpska, Bosnia and Herzegovina, after five waves of COVID-19 and 1 year after introduction of vaccination to better understand the true extent of the COVID-19 pandemic in the population of the Republika Srpska and role of vaccination in achieving herd immunity.

Methods: The population-based study was conducted from December 2021 to February 2022 in a group of 4463 individuals in the Republika Srpska. Total anti-SARS-CoV-2 antibodies were determined in serum specimens using the Wantai total antibody ELISA assay.

Molecular modeling studies, in vitro antioxidant and antimicrobial assay and BSA affinity of novel benzyl-amine derived scaffolds as CYP51B inhibitors.

New scaffolds derived from benzylamine were prepared, characterized, and tested for their antimicrobial, antioxidant activities and binding interactions with BSA. Structure-activity relationship analysis revealed that compounds incorporating both benzylamine and quinoline or pyridine moieties (specifically 3a and 3d) demonstrated potent antifungal activity, surpassing that of the standard drug Ketoconazole against Penicillium italicum. Molecular docking studies confirmed significant inhibitory activity against the CYP51B enzyme-an essential component of fungal cell walls.

Correction: Density functional theory study of crown ether-magnesium complexes: from a solvated ion to an ion trap.

Correction for 'Density functional theory study of crown ether-magnesium complexes: from a solvated ion to an ion trap' by Katarina Ćeranić , , 2023, , 32656-32665, https://doi.org/10.1039/D3CP03991A.

Description Generation Using Variational Auto-Encoders for Precursor microRNA.

Micro RNAs (miRNA) are a type of non-coding RNA involved in gene regulation and can be associated with diseases such as cancer, cardiovascular, and neurological diseases. As such, identifying the entire genome of miRNA can be of great relevance. Since experimental methods for novel precursor miRNA (pre-miRNA) detection are complex and expensive, computational detection using Machine Learning (ML) could be useful.

Crown Ether-Magnesium Ion Complexes: A Reliable Theoretical Estimation of Host-Guest Interaction and Binding Energies in a Solvent.

Metal ion detection is of paramount importance for health monitoring. The host should properly accommodate the desired ion and be selective with respect to other potential guests, which makes devising ion sensors a demanding task. Recently (Phys.