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Molecule Parameter List for PKC-active

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
PKC-active participated asMoleculeSum total ofEnzymeSubstrate of an enzymeProduct of an enzymeSubstrate in ReactionProduct in Reaction
No. of occurrences1110000

Accession and Pathway Details
Accession NameAccession No.Accession TypePathway Link
PKC_turnover26Pathway
PKC 
This model is a superset of the PKC model presented in Bhalla US and Iyengar R. Science (1999) 283(5400):381-7. The current version includes PKC turnover. This version includes the stimulating pools Ca, AA and DAG as well as the PKC activity within the synaptic signaling pathway since it is meant to be a self-contained pathway model rather than part of a network.

PKC-active acting as a Molecule in  
PKC_turnover Network
NameAccession NamePathway NameInitial Conc.
(uM)
Volume
(fL)
Buffered
PKC-activePKC_turnover
Accession No. : 26
PKC
Pathway No. : 138
01000No
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-active acting as a Summed Molecule in  
PKC_turnover Network
Accession NamePathway NameTargetInput
PKC_turnover
Accession No. : 26
PKC
Pathway No. : 138
PKC-activePKC-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-active acting as an Enzyme in  
PKC_turnover Network
Enzyme Molecule /
Enzyme Activity
Accession NamePathway NameKm (uM)kcat (s^-1)RatioEnzyme TypeReagents
PKC-active /
  • PKC-enzyme-activ
    ity
  • PKC_turnover
    Accession No. : 26
    PKC
    Pathway No. : 138
    3.3333344explicit E-S complexSubstrate
    PKC-substrate

    Product
    PKC-substrate*
    Rate consts from Chen et al Biochem 32, 1032 (1993) Generic PKC rates.



    Database compilation and code copyright (C) 2022, Upinder S. Bhalla and NCBS/TIFR
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