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24 May 2022 A hypergraph structure-based model for the evolution of drug targeted hypernetworks
Libing Bai, Qihang Zhu, Feng Hu
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Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 122601F (2022) https://doi.org/10.1117/12.2637496
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China
Abstract
Based on the traditional drug-target interactions, a drug-target hypernetwork evolution model was constructed using hypergraph theory. The evolutionary law of the growth of drug-target interactions was analyzed by mean-field theory, and it was found that the distribution of drug-target hypernetwork conformed to a power-law distribution, and further theoretical analysis obtained that the power exponent of the distribution was correlated with the growth rate of the target species corresponding to drug development. A larger exponent tends to explore new targets. By analyzing the drug target data collected from the drugbank in 2021, it was confirmed that the empirical results are consistent with the theoretical analysis and simulation results.
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Libing Bai, Qihang Zhu, and Feng Hu "A hypergraph structure-based model for the evolution of drug targeted hypernetworks", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 122601F (24 May 2022); https://doi.org/10.1117/12.2637496
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KEYWORDS
Data modeling
Computer simulations
Mathematical modeling
Proteins
Analytical research
Monte Carlo methods
Data processing
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