A protein interactions map of multiple organ systems associated with COVID-19 disease.

Coronavirus disease 2019 (COVID-19) is an on-going pandemic disease infecting millions of people across the globe. Recent reports of reduction in antibody levels and the re-emergence of the disease in recovered patients necessitated the understanding of the pandemic at the core level. The cases of multiple organ failures emphasized the consideration of different organ systems while managing the disease. The present study employed RNA sequencing data to determine the disease associated differentially regulated genes and their related protein interactions in several organ systems. It signified the importance of early diagnosis and treatment of the disease. A map of protein interactions of multiple organ systems was built and uncovered CAV1 and CTNNB1 as the top degree nodes. A core interactions sub-network was analyzed to identify different modules of functional significance. AR, CTNNB1, CAV1, and PIK3R1 proteins were unfolded as bridging nodes interconnecting different modules for the information flow across several pathways. The present study also highlighted some of the druggable targets to analyze in drug re-purposing strategies against the COVID-19 pandemic. Therefore, the protein interactions map and the modular interactions of the differentially regulated genes in the multiple organ systems would incline the scientists and researchers to investigate in novel therapeutics for the COVID-19 pandemic expeditiously.

ClosIndb: A resource for computationally derived information from clostridial genomes.

Over the past few years, several clostridial genomes have been sequenced, and since then new sequencing projects are also under way. Clostridia is one of the most sequenced genera, and presently, complete genome sequences of 49 clostridial species are available in public archives. Unraveling this wealth of genomic information opens up potential avenues in clostridial research. In the present study, we have carried out in silico analysis to decipher the genomic data. Subsequently, a web resource, ClosIndb, has been developed which collates the computationally derived information associated with all clostridial genes. It features various aspects of coding regions as well as non-coding regions, such as putative orthologs, proteins physicochemical properties, operons and cis-regulatory elements. It provides users with comparative details of all clostridial proteins across the firmicutes. ClosIndb is a comprehensive resource for all completely sequenced clostridial genomes and is under constant development. ClosIndb is freely accessible at http://bif.uohyd.ac.in/closindb/.