LeptoDB: an integrated database of genomics and proteomics resource ofLeptospira

Autor:	Shruti Beriwal, Subhash Soni, Kumari Snehkant Lata, Afzal Ansari, Priyanka Sharma, Vibhisha Vaghasia, Deven Bhatt, Nikhil Padhiyar, Jayashankar Das, Shivarudrappa B. Bhairappanavar, Zuber Saiyed, Prabhakar D. Pandit
Rok vydání:	2018
Předmět:	Proteomics 0301 basic medicine 030106 microbiology Genomics Computational biology Web Browser Biology Genome General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Bacterial Proteins Leptospira Leptospiraceae Animals Humans CRISPR Leptospirosis Metadata Multiple sequence alignment Cas9 Molecular Sequence Annotation biology.organism_classification Database Tool 030104 developmental biology Databases Nucleic Acid General Agricultural and Biological Sciences Sequence Alignment Genome Bacterial Information Systems
Zdroj:	Database: The Journal of Biological Databases and Curation
ISSN:	1758-0463
DOI:	10.1093/database/bay057
Popis:	Leptospirosis is a potentially fatal zoo-anthroponosis caused by pathogenic species of Leptospira belonging to the family of Leptospiraceae, with a worldwide distribution and effect, in terms of its burden and risk to human health. The ‘LeptoDB’ is a single window dedicated architecture (5 948 311 entries), modeled using heterogeneous data as a core resource for global Leptospira species. LeptoDB facilitates well-structured knowledge of genomics, proteomics and therapeutic aspects with more than 500 assemblies including 17 complete and 496 draft genomes encoding 1.7 million proteins for 23 Leptospira species with more than 250 serovars comprising pathogenic, intermediate and saprophytic strains. Also, it seeks to be a dynamic compendium for therapeutically essential components such as epitope, primers, CRISPR/Cas9 and putative drug targets. Integration of JBrowse provides elaborated locus centric description of sequence or contig. Jmol for structural visualization of protein structures, MUSCLE for interactive multiple sequence alignment annotation and analysis. The data on genomic islands will definitely provide an understanding of virulence and pathogenicity. Phylogenetics analysis integrated suggests the evolutionary division of strains. Easily accessible on a public web server, we anticipate wide use of this metadata on Leptospira for the development of potential therapeutics. Database URL: http://leptonet.org.in
Databáze:	OpenAIRE
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