6.867 Machine Learning Lecture 10
نویسندگان
چکیده
The results from the small scale application are encouraging. Our model successfully reproduces known behavior of the λ−switch on the basis of molecular level competition and resource constraints, without the need to assume protein-protein interactions between cI2 dimers and cI2 and RNA-polymerase. Even in the context of this well-known sub-system, however, few quantitative experimental results are available about binding. Proper validation and use of our model therefore relies on estimating the game parameters from available protein-DNA binding data (in progress). Once the game parameters are known, the model provides valid predictions for a number of possible perturbations to the system, including changing nuclear concentrations and knock-outs. Acknowledgments
منابع مشابه
6.867 Machine Learning Lecture 16
The results from the small scale application are encouraging. Our model successfully reproduces known behavior of the λ−switch on the basis of molecular level competition and resource constraints, without the need to assume protein-protein interactions between cI2 dimers and cI2 and RNA-polymerase. Even in the context of this well-known sub-system, however, few quantitative experimental results...
متن کامل6.867 Machine Learning Lecture 9
The results from the small scale application are encouraging. Our model successfully reproduces known behavior of the λ−switch on the basis of molecular level competition and resource constraints, without the need to assume protein-protein interactions between cI2 dimers and cI2 and RNA-polymerase. Even in the context of this well-known sub-system, however, few quantitative experimental results...
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تاریخ انتشار 2010