Author

Jun Wang

Technology Center, China Tobacco Zhejiang Industrial Co. Ltd., Hangzhou, China, China

4 articles in our journals

Articles where this person is an author, newest first. People are matched by their name as printed (no ORCID iD is recorded for them), not by name alone; search the name as text to find namesakes too.

Research ArticleOpen accessEffect of Ultra-High-Pressure Treatment on the Chemical Composition and Aroma of Flue-Cured Tobacco Leaves for Heated Tobacco ProductsXinbo Lu, Jie Yin, Ying Yuan et al.The influences of different Ultra-High-Pressure (UHP) treatments on the chemical composition and the low-temperature pyrolysis products of Flue Cured Tobacco Leaves (FCTL) that applied in heated tobacco products were investigated in this study. Results indicated that UHP treatment reduced total alkaloids content significantly (p<0.05), especially 500-600 MPa treatment group (2.34±0.00%, 2.34±0.01%). Increase in sugars and potassium content were observed after … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 19 Oct 2025 · 2,150 accessesView PDF Cite

Research ArticleOpen accessIdentification of Microbe-Drug Association based on Weighted Profile and Collaborative Matrix FactorizationZhu Ling-Zhi, Guixiang Li, Chunhua Li, Jun WangPrevious studies have shown that diseases are associated with microbe. To explore a more effective treatment for these diseases, unknown microbe-drug associations must be identified. However, existing models to identify microbe-drug association are limited. In our article, a predictive model (WPCMF) is presented for identifying microbe-drug associations based on weighted profile and collaborative matrix factorization. In WPCMF, the Gaussian Interaction … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 4 · 23 Jan 2022 · 5,735 accessesView PDF Cite

Research ArticleOpen accessPredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,535 accessesView PDF Cite

Research ArticleOpen accessEssential Proteins Discovery Methods based on the Protein-Protein Interaction NetworksLingZhi Zhu, Junling Zhang, Lingya He et al.Essential proteins are closely related to biological survival or reproduction and have important application value in respect of the location of disease genes, disease diagnosis and treatment, drug design. In order to discovery essential proteins, the researchers have proposed experimental approaches, but these methods require laborious and time consuming. With the development of high-throughput sequencing techniques, plenty of computational methods … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 4 · 1 Jan 2018 · 8,891 accessesView PDF Cite