Host-Pathogen Interaction Databases: Tools for Rapid Understanding of Microbial Pathogenesis.

Understanding of microbial pathogenesis has greatly revolutionized after conventional culture-based techniques are replaced by molecular methods. This technological shift is generating huge host-pathogen interactions (HPIs) data. Moreover, computational predictions of biological interactions are also adding to HPI understanding.

as probiotics: opportunities and challenges for potential benefits in female reproductive health.

The growing interest of the scientific community in the study of probiotics has gathered valuable data about its beneficial effects for multiple clinical conditions. This data also provides evidence for the functions and properties of probiotics and how they contribute to health benefits by influencing normal microbiota. is an important genus which has long been utilized in the food industry and is also found as normal oral, intestinal and vaginal microbiota.

Combinatorial Effects of miRNAs in HSV-2 Infection of Macrophages: An In Silico and In Vitro Integration Approach.

The rising issues of herpes simplex virus (HSV)-2 drug ramifications have encouraged the researchers to look for new and alternative approaches that pose minimum adversities in the host while efficiently reducing the HSV-2 infection. Although microRNAs (miRNAs), as unorthodox approaches, are gaining popularity due to eliciting highly reduced immunogenic reactions, their implications in HSV-2 research have been rarely explored. In this study, a pool of cellular miRNAs with significance in HSV-2-induced inflammatory and immune responses have been identified.

Pathogenesis of Human Immunodeficiency Virus and Infection as Revealed by Transcriptome and Interactome Data.

Tuberculosis (TB) among patients with human immunodeficiency virus (HIV) is a major global health burden and contributes to a high mortality rate due to HIV-mediated immunosuppression and subsequent susceptibility to TB. It is imperative to understand the pathogenesis of the association between HIV and TB for therapeutic innovation and preventive medicine. In the present study, we employed transcriptomic and bioinformatic analyses of differential gene expression data obtained from Gene Expression Omnibus (GEO) of the National Center for Biotechnology Information.