ViroNia: LSTM based proteomics model for precise prediction of HCV.

Classification of viruses carries important implications in terms of understanding their evolution and the designing of interventions. This study introduces ViroNia as a novel LSTM-based system specifically meant for high-accuracy classification of viral proteins. Although originally developed for generative tasks, LSTM architectures have been found to be highly efficient for classification tasks as well; the model demonstrates this capability.

Evolutionary patterns and heterogeneity of dengue virus serotypes in Pakistan.

A comprehensive and systematic examination of dengue virus (DENV) evolution is essential in Pakistan, where the virus poses a significant public health challenge due to its ability to adapt and evolve. To shed light on the intricate evolutionary patterns of all four DENV serotypes, we analyzed complete genome sequences (n = 43) and Envelope (E) gene sequences (n = 44) of all four DENV serotypes collected in Pakistan from 1994 to 2023, providing a holistic view of their genetic evolution. Our findings revealed that all four serotypes of DENV co-circulate in Pakistan with a close evolutionary relationship between DENV-1 and DENV-3.

Deep learning guided prediction modeling of dengue virus evolving serotype.

Evolution remains an incessant process in viruses, allowing them to elude the host immune response and induce severe diseases, impacting the diagnostic and vaccine effectiveness. Emerging and re-emerging diseases are among the significant public health concerns globally. The revival of dengue is mainly due to the potential for naturally arising mutations to induce genotypic alterations in serotypes.

Prospects of Microfluidic Technology in Nucleic Acid Detection Approaches.

Conventional diagnostic techniques are based on the utilization of analyte sampling, sensing and signaling on separate platforms for detection purposes, which must be integrated to a single step procedure in point of care (POC) testing devices. Due to the expeditious nature of microfluidic platforms, the trend has been shifted toward the implementation of these systems for the detection of analytes in biochemical, clinical and food technology. Microfluidic systems molded with substances such as polymers or glass offer the specific and sensitive detection of infectious and noninfectious diseases by providing innumerable benefits, including less cost, good biological affinity, strong capillary action and simple process of fabrication.