Monosaccharide biosynthesis pathways database
| Autor: | Jaya Srivastava, P. Sunthar, Petety V. Balaji |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Glycan
Databases Factual Biology computer.software_genre Biochemistry Genome 03 medical and health sciences chemistry.chemical_compound Biosynthesis Polysaccharides Gene 030304 developmental biology chemistry.chemical_classification 0303 health sciences Database Bacteria 030302 biochemistry & molecular biology Monosaccharides Acetyltransferases Archaea Gene expression profiling Enzyme chemistry biology.protein computer Function (biology) |
| Zdroj: | Glycobiology. 31(12) |
| ISSN: | 1460-2423 |
| Popis: | A distinctive feature of glycans vis-à-vis proteins and nucleic acids is its structural complexity, which arises from the huge repertoire of monosaccharides, isomeric linkages and branching. A very large number of monosaccharides have so far been discovered in natural glycans. Experimentally, pathways for the biosynthesis have been characterized completely for 55 monosaccharides and partially for a few more. However, there is no single platform, which provides information about monosaccharide biosynthesis pathways and associated enzymes We have gathered 572 experimentally characterized enzymes of 66 biosynthesis pathways from literature and set up a first of its kind database called the Monosaccharide Biosynthesis Pathways Database http://www.bio.iitb.ac.in/mbpd/). Annotations such as the reaction catalyzed, substrate specificity, biosynthesis pathway and PubMed IDs are provided for all the enzymes in the database. Sequence homologs of the experimentally characterized enzymes found in nearly 13,000 completely sequenced genomes from Bacteria and Archaea have also been included in the database. This platform will help in the deduction of evolutionary relationships among enzymes such as aminotransferases, nucleotidyltransferases, acetyltransferases and SDR family enzymes. It can also facilitate experimental studies such as direct enzyme assays to validate putative annotations, establish structure–function relationship, expression profiling to determine the function, determine the phenotypic consequences of gene knock-out/knock-in and complementation studies. |
| Databáze: | OpenAIRE |
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