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Citations added to allometric scale
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cossorzano committed Aug 9, 2017
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22 changes: 22 additions & 0 deletions pyworkflow/em/packages/pkpd/bibtex.py
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Url = {http://link.springer.com/article/10.1023/A:1007572803027}
}
@Article{Mahmood1996,
Title = {Quantitative prediction of in vivo drug-drug interactions from in vitro data based on physiological pharmacokinetics: use of maximum unbound concentration of inhibitor at the inlet to the liver},
Author = {Mahmood, I. and Balian, J. D.},
Journal = {J. Pharmaceutical sciences},
Pages = {411-414},
Volume = {85},
Year = {1996},
Doi = {http://dx.doi.org/10.1021/js950400y},
Url = {http://onlinelibrary.wiley.com/doi/10.1021/js950400y/full}
}
@Article{Rostami2004,
Title = {In silico simulations to assess the in vivo consequences of in vitro metabolic drug?drug interactions},
Author = {Rostami-Hodjegan, A. and Tucker, G. T.},
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Url = {http://www.sciencedirect.com/science/article/pii/S174067490400037X}
}
@Article{Sharma2009,
Title = {To scale or not to scale: the principles of dose extrapolation.},
Author = {Sharma, V. and McNeill, J. H.},
Journal = {British J. Pharmacology},
Year = {2009},
Pages = {907-921},
Volume = {157},
Doi = {http://dx.doi.org/10.1111/j.1476-5381.2009.00267.x},
Url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2737649/pdf/bph0157-0907.pdf}
}
@Article{Spiess2010,
Title = {An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach.},
Author = {Spiess, A. and Neumeyer, N.},
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class ProtPKPDApplyAllometricScaling(ProtPKPD):
""" Apply an allometric scaling previously calculated to an incoming experiment. The labels specified by the
allometric scaling model will be rescaled to the target weight. """
allometric scaling model will be rescaled to the target weight. Note that depending on the exponent of the
fitting you may want to use a different predictor (weight*maximum lifespan potential, or weight*brain weight)
see the rule of exponents (Mahmood and Balian 1996). """

_label = 'apply allometric'

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def _summary(self):
msg = ["Target weight: %f"%self.targetWeight.get()]
return msg

def _citations(self):
return ['Sharma2009','Mahmood1996']
11 changes: 4 additions & 7 deletions todo_list
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Fitting plot should be more continuous
Implement a test for allometric scaling and bootstrapping
A bootstrapped population could be changed the experiment it refers to

Generic analysis (signalAnalysis.py)
Generic PD analysis
Generic fitters (expression or func.py)
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Batch effect via PCA
Bootstrap on PD models
Variance Inflation Factor

# Files to revise
wizard.py: createDrugSource, configureSource
tk_ode.py: configureSource
protocol_pkpd_ode_refine.py: configureSource
protocol_pkpd_ode_bootstrap.py: configureSource
protocol_pkpd_bootstrap_simulate.py: configureSource

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