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Karr, Sanghvi, et al. (2012) propose a whole-cell computational model for predicting phenotype from genotype in Mycoplasma genitalium. Their model simulates myriad cell processes such as DNA replication, RNA transcription and regulation, protein synthesis, metabolism and cell division at the molecular level over the life-cycle of the organism.

They achieve this by combining many existing mathematical and computational models into one piece of software. The article suggests that this is the first comprehensive whole-cell model at the molecular level in detail. They cite previous molecular-level models for their sub-modules, but don't go on to discuss more coarse-grained genotype-to-phenotype models. Their model is exciting, but the 10 hours of simulation on a top-end computer cluster to follow the life-cycle of a single organism is unreasonable for someone who wants to study evolutionary processes.

Are there prior reasonably accurate computational (or even better, analytic) genotype-to-phenotype models? If there are, what are some of the best coarse-grained genotype-to-phenotype models for commonly studied organisms such as E.Coli?

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The Karr et al. paper attempts to capture most of the details in their model by combining features from the genome, transcriptome, proteome, and metabolome. This work heavily builds off of the coarse-grained models that you ask of especially on the work from Bernhard Palsson from which Markus Covert did his training. The answer to your question rests entirely on the type of question that you seek and what you want the model to do.

For the most part, most of your questions can be answered using COBRA, the COnstratins Based Reconstruction and Analysis Toolbox. You can get a good idea of what genotypes can be knocked out and see how it affects the phenotype as long as the phenotype is a known pathway that gets affected by that gene and you don't care about temporal and dynamic information.

There is also the E-Cell Project for E. coli. I personally don't know much about it but it has created some basic models for E. coli and that may be good enough.

If you want to build your own models, you should check out BiGG where all of the large-scale reconstructions exists. A good chunk of the code is stored at the Palsson lab website where you can attempt to use COBRA and start generating your own hypotheses.

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The questions I seek are ones of micro and macro-evolution with more realistic models of genotype-to-phenotype mapping. I come from a background in EGT where the distinction is virtually non-existance. Your answer is very helpful, but I don't understand how it is about more coarse-grained models, aren't these models also at the molecular level? –  Artem Kaznatcheev Jul 24 '12 at 2:42
    
I assume EGT is evolutionary game theory? –  bobthejoe Jul 24 '12 at 7:17
    
@ArtemKaznatcheev, I'm not entirely sure how you would be able to achieve any sort of genotype-phenotype mapping without having some molecular element in the modeling. Clearly, I misunderstood your question. –  bobthejoe Jul 24 '12 at 7:19
    
@ArtemKaznatcheev the paper you cited describes a model that uses many different molecular phenotypes to build a 'model' of whether cellular functions are affected by gene perturbations. Bob has cited several viable options for you to do a simplified model in E.coli, however if these do not help in answering your question then it may need re-phrasing. –  Luke Jul 26 '12 at 16:34
    
@Luke in the question I ask what are some of the best coarse-grained genotype-to-phenotype by coarse-grained I mean more coarse-grained that the paper. In other words, something that doesn't go as far into the details as tracking at the molecular level. If no one suggests such a model then after a few days (and some more extensive search on my part), I will accept Bob's answer. –  Artem Kaznatcheev Jul 26 '12 at 16:46
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