Team:BNU-China/Model
Overview
Throughout the project, we use different models to refine and develop our design. Our modeling is comprised of 5 parts:
(1) We used the FCM algorithm based on GA algorithm and neural network to predict the folding rate of Cas9 protein, which indicated the feasibility of the experiment design.
(2) We predicted the total number of possible barcodes that homing guide RNA (hgRNA) could generate, which demonstrated that our selection of hgRNA could greatly increase the diversity of barcode.
(3) To choose the appropriate degradation tag for Cas9 protein, we compared the degradation effects of full-length Clb2 and the first 124 amino acids of Clb2 by modeling.
(4) To explore the effect of coupling the expression of Cas9 protein with the cell cycle, we predicted how many cell generations that our ABC system could trace.
(5) Considering the practical application of the system, we also predicted how many hgRNA should be introduced to achieve the expected result, guiding potential users in the future.
In our model, we use variants to refer to different hgRNAs and use mutants to denote cells labeled with different barcodes.
Learn more about our models:
Postcode:100875
Email：igem2020bnu_china@163.com
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