Application of kriging models for a drug combination experiment on lung cancer

Xiao, Qian; Wang, Lin; Xu, Hongquan

doi:10.1002/sim.7971

Cited by 22 publications

(13 citation statements)

References 25 publications

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“…Multiple mechanisms of action of miRNAs allow for positive or negative mutual effect between miRNAs. Mutual effect of miRNAs may have many advantages for medicinal application, such as higher drug efficacy and lower secondary actions (29,30). Understanding the interaction mechanisms of miRNAs provides more information on the regulation process of BLM gene expression at the post-transcriptional level.…”

Section: Discussionmentioning

confidence: 99%

“…BBD has been applied to determine interactions between multiple factors in previous studies (31). Latin square design and the equivalent line method (2,30–32) are also able to calculate interaction effects, but the lower dose application of factors, more reasonable and three-dimensional arrangements are the main features of BBD which eliminates the dose superposing effects from multiple factors (in the study of factor interaction, multiple factors were used in one treatment group so that the dose of multiple factors will be elevated to create effect results). By contrast, Latin square design lacks consideration of superposition of drug doses.…”

Section: Discussionmentioning

confidence: 99%

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miR‑27b‑3p and miR‑607 cooperatively regulate BLM gene expression by directly targeting the 3'‑UTR in PC3 cells

et al. 2019

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BLM RecQ like helicase (BLM) has a pivotal role in genetic recombination, transcription, DNA replication and DNA repair, which presents the possibility of using BLM as an anti-cancer target for treatment. However, the post-transcriptional control regulation of BLM gene expression is not fully understood and limits the application of drugs targeting BLM for carcinoma therapy in the future. MicroRNAs (miRNAs) inhibit gene expression through interaction with the 3′ untranslated region (3′-UTR) of mRNA at the post-transcriptional stage. Therefore, the current study screened for miRNAs that regulate BLM gene expression, with software predicting that miRNA (miR)-27b-3p, miR-607, miR-361-3p, miR-628-5p and miR-338-3p. BLM gene expression levels in the PC3 prostate cancer cell line and RWPE-2 normal prostate epithelium cell line were detected by reverse transcription-quantitative PCR. Additionally, BLM mRNA levels were following miRNA overexpression for 24 and 48 h. For further miRNA filtration and validation, a dual-luciferase reporter system and western blot analysis were performed, which demonstrated that miR-27b-3p and miR-607 reduce BLM gene expression by directly targeting the BLM mRNA 3′-UTR. A Box-Behnken design experiment suggested that miR-27b-3p and miR-607 have synergetic mutual effects on BLM gene expression. Finally, the suppressive effect of miR-27b-3p and miR-607 on PC3 cell proliferation, colony formation, migration and invasion indicated the benefit of studying BLM as a drug target in cancer. In conclusion, the findings of the current provide evidence that miR-27b-3p and miR-607 have an oncosuppressive function in PC3 cells and cooperatively downregulate BLM expression at the post-transcriptional level.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

miR‑27b‑3p and miR‑607 cooperatively regulate BLM gene expression by directly targeting the 3'‑UTR in PC3 cells

et al. 2019

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“…, w k ) are two runs, R( Á ) is a spatial correlation function and s 2 is the variance of the random process. The Matern correlation function with parameter n = 5=2 shown in Equation 5 is adopted because it provides a good balance between differentiability and smoothness (Xiao et al, 2019):…”

Section: Surrogate Model Developmentmentioning

confidence: 99%

Design of computer experiments for developing seismic surrogate models

Burton

2021

Earthquake Spectra

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Surrogate models are growing in popularity within the earthquake engineering community because of their ability to increase the efficiency of computationally intensive tasks. This article examines the design of computer experiments (DoCE) for the purpose of developing seismic surrogate models. Two categories of DoCE approaches are discussed while underscoring the benefits and drawbacks of specific methods. Further insight is provided through an illustrative case study that develops surrogate models to predict the median collapse capacity and expected annual losses in single-family woodframe buildings with cripple walls. The implications of the chosen DoCE method on the predictive performance and efficiency (in terms of the required number of explicit simulations) of the associated surrogate models are closely examined. The results show that both factorial and Latin hypercube designs [Formula: see text] do not perform well when different approaches are used to generate the training and testing sets (i.e. out-of-design-type testing). An efficient hybrid design that combines an orthogonal array-based composite design with a small number of [Formula: see text] samples is shown to produce a surrogate model with superior predictive performance.

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“…According to the simulation results based on orthogonal test, a kriging model [22][23][24] is established, which adopts the output force of the tail propulsion ducts as the objective function with the help of constant regression model. And the simulation arrangements based on this orthogonal test and the results of each simulation are depicted in Table.2.…”

Section: Kriging Modelmentioning

confidence: 99%

Global optimization for Cross-domain aircraft based on Kriging model and par-ticle swarm optimization algorithm

et al. 2019

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In order to further extend the working range of existed aircrafts, a new type of water-air cross-domain aircraft based on fixed-wing aircrafts with the addition of extra tandem ducted coaxial rotors and tail ducted propulsion system was herein proposed, which was driven by a hybrid power system. Due to its layout situation, the fluid characteristics underwater was especially analyzed based on CFD simulation experiments, which mainly aimed at the thrust force characteristics influenced by different layout parameters of tail ducts and different rotational velocities. In order to figure out the optimal layout which can reach the best performance underwater, a global layout optimization was accomplished with the former analysis results, which employed an optimization method based on PSO algorithm with the compensation of orthogonal test and Kriging model to decrease computational complexity and improve interpolation accuracy. The global optimal layout solution was finally obtained and validated to be reasonable through extra simulation experiments, and the proposed optimization method was also proved to be effective through the utilization for this studied case.

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Application of kriging models for a drug combination experiment on lung cancer

Cited by 22 publications

References 25 publications

miR‑27b‑3p and miR‑607 cooperatively regulate BLM gene expression by directly targeting the 3'‑UTR in PC3 cells

miR‑27b‑3p and miR‑607 cooperatively regulate BLM gene expression by directly targeting the 3'‑UTR in PC3 cells

Design of computer experiments for developing seismic surrogate models

Global optimization for Cross-domain aircraft based on Kriging model and par-ticle swarm optimization algorithm

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