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Molecule Parameter List for PKC-Ca-AA* | The statistics table lists the distribution of a molecule acting either as a substrate, product, enzyme or as a molecule within the network.
The text color of a molecule is highlighted by  color. | | Statistics |
Accession and Pathway Details | |
| Accession Name | Accession No. | Accession Type | Pathway Link | NonOsc_Ca_
IP3metabolism | 31 | Network |
MIPP, CaMKII, CaM,
PKC, IP3-3K, CaRegulation,
Gq, PLCbeta, 134_dephos,
145_dephos, IP4-system, IHP-system,
1345_dephos | | This network models detailed metabolism of Ins(145)P3, integrated with GPCR mediated PLCbeta activation and Ca release by the InsP3 receptor in the neuron. It is similar to the NonOsc_Ca_IP3metab model (accession 23) except that some enzymes have been modified to have reversible kinetics rather than Michaelis-Menten kinetics. These modified enzymes belong to the groups: IP4-system, IP3-3K, 145_dephos and 134_dephos. Mishra J, Bhalla US. Biophys J. 2002 Sep;83(3):1298-316. |
PKC-Ca-AA* acting as a Molecule in NonOsc_Ca_IP3metabolism Network
| Name | Accession Name | Pathway Name | Initial Conc.
(uM) | Volume
(fL) | Buffered | | PKC-Ca-AA* | NonOsc_Ca_
IP3metabolism
Accession No. : 31 | PKC
Pathway No. : 147 | 0 | 1000 | No | | Membrane bound and active complex of PKC, Ca and AA. |
PKC-Ca-AA* acting as a Summed Molecule in NonOsc_Ca_IP3metabolism Network
| Accession Name | Pathway Name | Target | Input | NonOsc_Ca_
IP3metabolism
Accession No. : 31 | PKC
Pathway No. : 147 | PKC-active | PKC-DAG-AA*
PKC-Ca-memb*
PKC-Ca-AA*
PKC-DAG-memb*
PKC-basal*
PKC-AA*
| | This is the total active PKC. It is the sum of the respective activities of PKC-basal* PKC-Ca-memb* PKC-DAG-memb* PKC-Ca-AA* PKC-DAG-AA* PKC-AA* I treat PKC here in a two-state manner: Either it is in an active state (any one of the above list) or it is inactive. No matter what combination of stimuli activate the PKC, I treat it as having the same activity. The scaling comes in through the relative amounts of PKC which bind to the respecive stimuli. The justification for this is the mode of action of PKC, which like most Ser/Thr kinases has a kinase domain normally bound to and blocked by a regulatory domain. I assume that all the activators simply free up the kinase domain. A more general model would incorporate a different enzyme activity for each combination of activating inputs, as well as for each substrate. The current model seems to be a decent and much simpler approximation for the available data. One caveat of this way of representing PKC is that the summation procedure assumes that PKC does not saturate with its substrates. If this assumption fails, then the contributing PKC complexes would experience changes in availability which would affect their balance. Given the relatively low percentage of PKC usually activated, and its high throughput as an enzyme, this is a safe assumption under physiological conditions. |
PKC-Ca-AA* acting as a Product in a reaction in NonOsc_Ca_IP3metabolism Network
| Kd is calculated only for second order reactions, like nA+nB <->nC or nA<->nC+nD, where n is number and A,B,C,D are molecules, where as for first order reactions Keq is calculated.
Kd for higher order reaction are not consider. |
| Name | Accession Name | Pathway Name | Kf | Kb | Kd | tau | Reagents | | PKC-act-by-Ca-AA | NonOsc_Ca_
IP3metabolism
Accession No. : 31 | PKC
Pathway No. : 147 | 0.0012
(uM^-1 s^-1) | 0.1
(s^-1) | Kd(bf) = 83.3333(uM) | - | Substrate
AA
PKC-Ca
Product
PKC-Ca-AA*
| | Ca-dependent AA activation of PKC. Note that this step combines the AA activation and also the membrane translocation. From Schaechter and Benowitz 1993 J Neurosci 13(10):4361 |
| Database compilation and code copyright (C) 2022, Upinder S. Bhalla and NCBS/TIFR
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