2 citations · 3 across the 4 of their papers we have counts for
4 papers
Prediction and optimization of NaV1.7 inhibitors based on machine learning methods
Weikaixin Kong, Xinyu Tu, Zhengwei Xie +1
We used machine learning methods to predict NaV1.7 inhibitors and found the model RF-CDK that performed best on the imbalanced dataset. Using the RF-CDK model for screening drugs,…
Identification of key genes related to the mechanism and prognosis of lung squamous cell carcinoma using bioinformatics analysis
Miaomiao Gao, Weikaixin Kong, Zhuo Huang +1
Objectives Lung squamous cell carcinoma (LUSC) often diagnosed as advanced with poor prognosis. The mechanisms of its pathogenesis and prognosis require urgent elucidation. This st…
Predict genome-scale fluxes based solely on enzyme abundance by a novel Hyper-Cube Shrink Algorithm
Zhengwei Xie, Tianyu Zhang, Qi Ouyang
One of the long-expected goals of genome-scale metabolic modeling is to evaluate the influence of the perturbed enzymes to the flux distribution. Both ordinary differential equatio…
Monte Carlo simulation of melting transition on DNA nanocompartment
Song Chang, Youdong Mao, Zhengwei Xie +2
DNA nanocompartment is a typical DNA-based machine whose function is dependent of molecular collective effect. Fundamental properties of the device have been addressed via electroc…