02050nas a2200229   4500008004100000022001400041245008000055210006900135260000800204300001200212490000800224520132400232653001301556653001701569653001501586653001001601653003201611100002101643700002301664700002401687856010901711       2024                        eng d  a1364-507200aRole and significance of virus-bacteria interactions in disease progression0 aRole and significance of virusbacteria interactions in disease p  cJUN  alxae1300 v1353 a<p>
	Understanding disease pathogenesis caused by bacteria/virus, from the perspective of individual pathogen has provided meaningful insights. However, as viral and bacterial counterparts might inhabit the same infection site, it becomes crucial to consider their interactions and contributions in disease onset and progression. The objective of the review is to highlight the importance of considering both viral and bacterial agents during the course of coinfection. The review provides a unique perspective on the general theme of virus-bacteria interactions, which either lead to colocalized infections that are restricted to one anatomical niche, or systemic infections that have a systemic effect on the human host. The sequence, nature, and underlying mechanisms of certain virus-bacteria interactions have been elaborated with relevant examples from literature. It also attempts to address the various applied aspects, including diagnostic and therapeutic strategies for individual infections as well as virus-bacteria coinfections. The review aims to aid researchers in comprehending the intricate interplay between virus and bacteria in disease progression, thereby enhancing understanding of current methodologies and empowering the development of novel health care strategies to tackle coinfections.</p>
10aBacteria10acoinfections10ainfections10avirus10avirus-bacteria interactions1 aPokhrel, Vatsala1 aKuntal, Bhusan, K.1 aMande, Sharmila, S.  uhttps://library.ncl.res.in/content/role-and-significance-virus-bacteria-interactions-disease-progression02096nas a2200241   4500008004100000022001400041245008200055210006900137260000800206300000800214490000800222520129400230653003001524653001901554653002001573653003901593653001501632100002901647700002501676700002101701700002301722856010901745       2025                        eng d  a0302-893300aMicrobiome knowledge graph as a tool to understand bacteria-host associations0 aMicrobiome knowledge graph as a tool to understand bacteriahost   cAUG  a2220 v2073 a<p>
	Gut bacteria are well known to significantly influence human health and physiology. Knowledge Graph (KG) can effectively integrate the heterogenous factors modulating gut bacteria-host associations. Limited studies describe the construction and application of KGs capturing these associations for domain experts. This work outlines a methodology for constructing microbiome-centric KG and demonstrates how it enhances conventional microbiome data analysis workflows. Towards construction and deployment of this domain centric KG, methodologies involved in collection of data, selecting relevant entities and relationships, and preprocessing them are discussed. Key relevant entities include bacteria, host genetic and immune factors, chemicals and diseases. The KG construction in both RDF (Resource Description Framework) and LPG (Labeled Property Graph) models are demonstrated. Comparison of the querying techniques in both these models and applications of the KG using biologically relevant case studies are also presented. Overall, the work is intended to provide domain experts with a complete protocol for construction of a microbiome-centric KG starting from entity selection and schema design to utilizing the KG for microbiome data analysis and hypothesis generation.</p>
10aBacteria-host association10aBioinformatics10aKnowledge graph10aKnowledge graph question answering10aMicrobiome1 aPudavar, Anand, Eruvessi1 aBaksi, Krishanu, Das1 aPokhrel, Vatsala1 aKuntal, Bhusan, K.  uhttps://library.ncl.res.in/content/microbiome-knowledge-graph-tool-understand-bacteria-host-associations