ID | Attribute | Number | Unit | Entity/reaction | Organism | Experiment |
---|---|---|---|---|---|---|
00004 | Doubling time |
12 |
h | cell | Synechocystis sp. PCC 6803 | |
00005 | Generation Time |
6 |
h | cell | Synechocystis sp. PCC 6803 | |
00007 | Number of chlorophyll molecules per cell |
14000000 |
chlorophyl | Synechocystis sp. PCC 6803 | ||
00008 | Number of photosystem I units per cell |
96000 |
photosystem I | Synechocystis sp. PCC 6803 | ||
00009 | Iron atoms per photosystem I unit |
12 |
photosystem I iron-sulphur centre Fa | Synechocystis sp. PCC 6803 | ||
00010 | Number of iron atoms in photosystem I units per cell |
1200000 |
photosystem I | Synechocystis sp. PCC 6803 | ||
00011 | Total number of iron atoms per cell |
9300000 |
Synechocystis sp. PCC 6803 | |||
00012 | isoelectric point of plastocyanin |
6 |
photosystem I reaction center{n} | Synechocystis sp. PCC 6803 | ||
00013 | Number of c-rings in ATPase |
14 |
ATPase | Synechocystis sp. PCC 6803 | ||
00014 | Number of predicted protein coding genes |
3661 |
cell | Synechocystis sp. PCC 6803 | ||
00015 | Intracellular iron content in wildtype |
9300000 |
Synechocystis sp. PCC 6803 | |||
00016 | Fastest generation time |
5.13 |
h | cell | Synechocystis sp. PCC 6803 | |
00018 | Cell diameter |
1 |
μm | cell | Synechocystis sp. PCC 6803 | |
00019 | Doubling time |
5.87 |
h | cell | Synechocystis sp. PCC 6803 GT-L | PBR |
00020 | Doubling time |
6.16 |
h | cell | Synechocystis sp. PCC 6803 GT-L | PBR |
00021 | Doubling time |
6.74 |
h | cell | Synechocystis sp. PCC 6803 GT-L | PBR |
Please use the following reference to cite this web site:
M. Trojak, D. Safranek, J. Hrabec, J. Salagovic, F. Romanovska, J. Cerveny: E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria. In: Computational Methods in Systems Biology, CMSB 2016, Vol. 9859 of LNCS, pp. 316-322. Springer, 2016. DOI
M. Trojak, D. Safranek, J. Hrabec, J. Salagovic, F. Romanovska, J. Cerveny: E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria. In: Computational Methods in Systems Biology, CMSB 2016, Vol. 9859 of LNCS, pp. 316-322. Springer, 2016. DOI