dEMBF
dEMBF v2.0 provides a curated database of enzymes involved in microalgal lipid biosynthesis to support research into lipid metabolism and biofuel production.
Key Features:
- Expanded Enzyme Annotation: Contains 2018 sequences encoding 35 distinct enzymes, representing a greater-than-sevenfold expansion from the initial version.
- Increased Species Coverage: Covers 32 algal genomes to enable broader comparative analyses of lipid biosynthesis.
- Enhanced Metabolic Pathway Analysis: Provides analyses of additional metabolic pathways relevant to lipid accumulation in microalgae.
- Detailed Annotation Features: Includes sequence and structural annotations, explicitly reporting enzyme–ligand interactions.
- Integration of Experimental Evidence: Integrates supporting experimental evidence that links specific enzymes to enhanced lipid content in microalgae.
Scientific Applications:
- Biofuel Production Optimization: Facilitates identification of enzyme targets for genetic and metabolic engineering to increase lipid yields in microalgae.
- Comparative Genomics: Enables comparative studies across 32 algal genomes to investigate variation in lipid biosynthesis pathways.
- Functional and Structural Analysis: Supports functional studies and enzyme–ligand interaction analyses to inform selection of targets for manipulation.
Methodology:
Annotation of 2018 enzyme sequences, metabolic pathway analysis across 32 algal genomes, structural annotation including enzyme–ligand interactions, and integration of supporting experimental evidence.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 2/27/2021
Operations
Publications
Sahoo S, Mahapatra SR, Parida BK, Narang PK, Rath S, Misra N, Suar M. dEMBF v2.0: An Updated Database of Enzymes for Microalgal Biofuel Feedstock. Plant and Cell Physiology. 2020;61(5):1019-1024. doi:10.1093/pcp/pcaa015. PMID:32061129.
DOI: 10.1093/PCP/PCAA015
PMID: 32061129