Search bioRxiv⌕ Search

Biology subjects

Sinha, B. N.

Publications and source records attributed to Sinha, B. N..

2 recordsLinked to original sources

Identification of novel thiazole derivatives as flaviviral protease inhibitors against DENV and JEV

Flaviviruses are the causative agents of viral hemorrhagic fever (VHF) globally and have demonstrated the capacity to result in fatal outcomes if not managed effectively. Among different types of flaviviruses, dengue (DENV) and Japanese encephalitis (JEV) are the most common in tropical and subtropical countries. Given the scarcity of effective vaccines against flaviviral infections, small molecule agents that target crucial viral proteins emerge as the sole feasible option. This study outlines the synthesis of novel thiazole compounds as flavivirus NS2B-NS3 protease inhibitor and characterization of their antiviral activity against DENV and JEV. We synthesized a heterocyclic template derived from a substrate-based retrotripeptide dengue protease inhibitor, leading to forty-eight thiazole derivatives. Two compounds demonstrated significant inhibition of dengue virus protease activity in vitro. Comprehensive characterization of these two compounds was conducted through biochemical assay which revealed an uncompetitive mode of inhibition. Subsequent cell-based assays using Dengue and Japanese encephalitis viruses as representatives Flaviviruses imparted the potential of these compounds to block viral RNA synthesis, and viral replication. Finally time-course experiments unveiled that the two compounds impeded the accumulation of viral genomic RNA primarily at later stages of infection, aligning with their capacity to hinder NS2B-NS3 protease activity, polyprotein processing and viral genomic RNA replication. Together our work presents the development and validation of flavivirus protease inhibitors with therapeutic potential against Dengue and Japanese encephalitis virus.

microbiology↗

AMR - An R Package for Working with Antimicrobial Resistance Data

Antimicrobial resistance is an increasing threat to global health. Evidence for this trend is generated in microbiological laboratories through testing microorganisms for resistance against antimicrobial agents. International standards and guidelines are in place for this process as well as for reporting data on (inter-)national levels. However, there is a gap in the availability of standardized and reproducible tools for working with laboratory data to produce the required reports. It is known that extensive efforts in data cleaning and validation are required when working with data from laboratory information systems. Furthermore, the global spread and relevance of antimicrobial resistance demands to incorporate international reference data in the analysis process. In this paper, we introduce the AMR package for R that aims at closing this gap by providing tools to simplify antimicrobial resistance data cleaning and analysis, while incorporating international guidelines and scientifically reliable reference data. The AMR package enables standardized and reproducible antimicrobial resistance analyses, including the application of evidence-based rules, determination of first isolates, translation of various codes for microorganisms and antimicrobial agents, determination of (multi-drug) resistant microorganisms, and calculation of antimicrobial resistance, prevalence and future trends. The AMR package works independently of any laboratory information system and provides several functions to integrate into international workflows (e.g., WHONET software provided by the World Health Organization).

microbiology↗