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Molecule List for Accession NonOsc_Ca_IP3metabolism (Accession Number23)

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The entries are grouped according to Pathway Number and are alternately color coded using  and  color.
  NamePathway Name / 
Pathway No.
Accession
Type
Initial
Conc.

(uM)
Volume
(fL)
BufferedSum Total Of
1 1345_3pase 1345_dephos

Pathway No. 117
Network0.11000No
    from Hoer et al, BiochemJ 270; 1990: 715-719
2 AA PKC

Pathway No. 108
Network501000Yes
    Arachidonic Acid. This messenger diffuses through membranes as well as cytosolically, has been suggested as a possible retrograde messenger at synapses.
3 ADP IHP-system

Pathway No. 116
Network699.9951000Yes
    Conc for mammaliam brain from Huang et al, Biochem 37; 1998
4 ATP IHP-system

Pathway No. 116
Network2700.051000Yes
    Conc for mammalian brain from Huang et al, Biochem 37; 1998
5 BetaGamma Gq

Pathway No. 111
Network01000No
    The betagamma subunits of Gq. This is an approximation to the possible combinations of betagamma subunits. Here they are all treated as a single pool.
6 bisPP-IP3 IHP-system

Pathway No. 116
Network01000Yes
    Bis(diphospho)inositol trisphosphate from Saiardi et al, JBC 275(32); 2000: 24686-92
7 bisPP-IP4 IHP-system

Pathway No. 116
Network21000No
    Bis(diphospho)inositol tetrakisphosphate Conc from Huang et al, Biochem 37; 1998
8 Blocked-rec-Gq Gq

Pathway No. 111
Network01000No
    This represents the blocked state of the receptor when bound to a competitive antagonist. Note that this is in the Gq bound form. Simulations had shown that with the available rates, the blocking was minimal if only the unbound receptor could bind the antagonist.
9 Ca CaRegulation

Pathway No. 110
Network0.081000No
    This pool represents intracellular calcium. Resting levels are around 80 nM, but this is subject to all sorts of influxes and pumps.
10 Ca-1pase-cmplx 145_dephos

Pathway No. 114
Network01000No
11 Ca-ext CaRegulation

Pathway No. 110
Network4000100000Yes
    Extracell Ca conc = 4 mM Extracell vol assumed 100 X cell vol. It is anyway kept buffered for the purposes of the model, so the concentration won't change.
12 
  • Ca-leak-from-ext
    racell
  •  CaRegulation

    Pathway No. 110
    Network0.00081000No
        This represents the pool of Ca leak channels. The conc gradient is so large that this pool needs only a small number of molecules. For an equilibrium at 0.1 uM we need flow of 36e3/sec. With a permeability of 0.01 and a conc gradient of 4mM->0.1 uM (4e4) we get flux = N * perm * grad => N = 36e3 / (1e-2 * 4e3) = 900 if flux = 20e3, N =500, which is what we use. This works out to a concentration of 0.83 nM.
    13 
  • Ca-leak-to-cytop
    lasm
  •  CaRegulation

    Pathway No. 110
    Network0.0241000Yes
        represents the channels that leak Ca into the cytoplasm. Effects of membrane potential are not considered. The amount and total flux are constrained by the need to balance Ca flux and keep basal Ca around 80 nM.
    14 Ca-sequester CaRegulation

    Pathway No. 110
    Network5.796160No
        Sequestered Ca pool The vol is 0.16 * the vol of the cell as a whole.
    15 Ca10-Cal CaRegulation

    Pathway No. 110
    Network0160No
        Calsequestrin with 10 Ca molecules bound
    16 Ca15-Cal CaRegulation

    Pathway No. 110
    Network0160No
        Calsequestrin with 15 Ca molecules bound
    17 Ca20-Cal CaRegulation

    Pathway No. 110
    Network0160No
        Calsequestrin with 20 Ca molecules bound
    18 Ca25-Cal CaRegulation

    Pathway No. 110
    Network0160No
        Calsequestrin with 25 Ca molecules bound
    19 Ca30-Cal CaRegulation

    Pathway No. 110
    Network0160No
        Calsequestrin with 30 Ca molecules bound
    20 Ca35-Cal CaRegulation

    Pathway No. 110
    Network0160No
        Calsequestrin with 35 Ca molecules bound

     
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