Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

dEMBF

General information

URL: http://bbprof.immt.res.in/embf
Full name: Database of Enzymes of Microalgal Biofuel Feedstock
Description: The EMBF is the first curated and integrated web-based relational database on the entire repertoire of enzymes responsible for lipid synthesis in microalgae. Particularly, genomes of fifteen sequenced microalgal species belonging to diverse classes including Chlorophyta (Chlamydomonas reinhardtii, Volvox carteri, Chlorella variabilis, Ostreococcus lucimarinus, Ostreococcus tauri, Micromonas pusilla, Micromonas sp., Bathycoccus prasinos), Heterokontophyta (Thalassiosira pseudonana, Phaeodactylum tricornutum, Aureococcus anophagefferens, Ectocarpus siliculosus, Nannochloropsis gaditana), Rhodophyta (Cyanidioschyzon merolae) and Haptophyta (Emiliania huxleyi), alongwith the model plant species, Arabidopsis has been included. This database not only provides detailed annotation information but also provides a variety of user-friendly tools to efficiently explore, comparatively analyze and download data on a single platform, related to algal biofuel research.
Year founded: 2016
Last update:
Version:
Accessibility:
Accessible
Country/Region: India

Contact information

University/Institution: Institute of Minerals and Materials Technology
Address: Academy of Scientific and Innovative Research, CSIR-Institute of Minerals and Materials Technology, Bhubaneswar, Odisha, India
City:
Province/State:
Country/Region: India
Contact name (PI/Team): Prasanna Kumar Panda
Contact email (PI/Helpdesk): pkpanda@immt.res.in

Publications

26727469
dEMBF: A Comprehensive Database of Enzymes of Microalgal Biofuel Feedstock. [PMID: 26727469]
Misra N, Panda PK, Parida BK, Mishra BK.

Microalgae have attracted wide attention as one of the most versatile renewable feedstocks for production of biofuel. To develop genetically engineered high lipid yielding algal strains, a thorough understanding of the lipid biosynthetic pathway and the underpinning enzymes is essential. In this work, we have systematically mined the genomes of fifteen diverse algal species belonging to Chlorophyta, Heterokontophyta, Rhodophyta, and Haptophyta, to identify and annotate the putative enzymes of lipid metabolic pathway. Consequently, we have also developed a database, dEMBF (Database of Enzymes of Microalgal Biofuel Feedstock), which catalogues the complete list of identified enzymes along with their computed annotation details including length, hydrophobicity, amino acid composition, subcellular location, gene ontology, KEGG pathway, orthologous group, Pfam domain, intron-exon organization, transmembrane topology, and secondary/tertiary structural data. Furthermore, to facilitate functional and evolutionary study of these enzymes, a collection of built-in applications for BLAST search, motif identification, sequence and phylogenetic analysis have been seamlessly integrated into the database. dEMBF is the first database that brings together all enzymes responsible for lipid synthesis from available algal genomes, and provides an integrative platform for enzyme inquiry and analysis. This database will be extremely useful for algal biofuel research. It can be accessed at http://bbprof.immt.res.in/embf.

PLoS One. 2016:11(1) | 5 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
6233/6895 (9.616%)
Gene genome and annotation:
1864/2021 (7.818%)
Modification:
321/337 (5.045%)
Structure:
872/967 (9.928%)
Pathway:
404/451 (10.643%)
Standard ontology and nomenclature:
214/238 (10.504%)
6233
Total Rank
4
Citations
0.444
z-index

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Record metadata

Created on: 2018-01-27
Curated by:
Farah Nazir [2018-04-07]