Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Zhenkun Shi"'
Autor:
Yuanyuan Huang, Zhitao Mao, Yue Zhang, Jianxiao Zhao, Xiaodi Luan, Ke Wu, Lili Yun, Jing Yu, Zhenkun Shi, Xiaoping Liao, Hongwu Ma
Publikováno v:
Synthetic and Systems Biotechnology, Vol 9, Iss 2, Pp 304-311 (2024)
Proteins play a pivotal role in coordinating the functions of organisms, essentially governing their traits, as the dynamic arrangement of diverse amino acids leads to a multitude of folded configurations within peptide chains. Despite dynamic change
Externí odkaz:
https://doaj.org/article/e39c229a745847a8bf88555f6f637431
Autor:
Qianqian Yuan, Fan Wei, Xiaogui Deng, Aonan Li, Zhenkun Shi, Zhitao Mao, Feiran Li, Hongwu Ma
Publikováno v:
Synthetic and Systems Biotechnology, Vol 8, Iss 4, Pp 688-696 (2023)
Pseudomonas stutzeri A1501 is a non-fluorescent denitrifying bacteria that belongs to the gram-negative bacterial group. As a prominent strain in the fields of agriculture and bioengineering, there is still a lack of comprehensive understanding regar
Externí odkaz:
https://doaj.org/article/bb96ab67afe0470a93270be31fe06eb0
Autor:
Huawei Gu, Xinwei Hao, Ruirui Liu, Zhenkun Shi, Zehua Zhao, Fu Chen, Wenqiang Wang, Yao Wang, Xihui Shen
Publikováno v:
Stress Biology, Vol 2, Iss 1, Pp 1-12 (2022)
Abstract Corynebacterium glutamicum is a promising chassis microorganism for the bioconversion of lignocellulosic biomass owing to its good tolerance and degradation of the inhibitors generated in lignocellulosic pretreatments. Among the identified p
Externí odkaz:
https://doaj.org/article/346ab6de66e0431f8922754622e852ca
Autor:
Zhenkun Shi, Rui Deng, Qianqian Yuan, Zhitao Mao, Ruoyu Wang, Haoran Li, Xiaoping Liao, Hongwu Ma
Publikováno v:
Research, Vol 6 (2023)
Enzyme commission (EC) numbers, which associate a protein sequence with the biochemical reactions it catalyzes, are essential for the accurate understanding of enzyme functions and cellular metabolism. Many ab initio computational approaches were pro
Externí odkaz:
https://doaj.org/article/6042e2b9d22b416fb8e2c3b0faf4390a
Autor:
Lei Xu, Mengyuan Li, Yadong Yang, Chen Zhang, Zhen Xie, Jingjing Tang, Zhenkun Shi, Shukun Chen, Guangzhe Li, Yanchao Gu, Xiao Wang, Fuhua Zhang, Yao Wang, Xihui Shen
Publikováno v:
mBio, Vol 13, Iss 3 (2022)
ABSTRACT Salmonella enterica serovar Typhimurium (S. Typhimurium) elicited strong innate immune responses in macrophages. To activate innate immunity, pattern recognition receptors (PRRs) in host cells can recognize highly conserved pathogen-associat
Externí odkaz:
https://doaj.org/article/4d5406a8f2c34b84b5d49462f7caf39a
Publikováno v:
IEEE Access, Vol 8, Pp 15423-15435 (2020)
People are admitted to intensive care units (ICUs) because they need complete support for failing organ systems, constant monitoring, routine nursing care, and treatment. A critical or intensive illness is different from conventional or chronic disea
Externí odkaz:
https://doaj.org/article/69166a4e7b5249db8e3bc5676c401a99
Autor:
Zhenkun Shi, Pi Liu, Xiaoping Liao, Zhitao Mao, Jianqi Zhang, Qinhong Wang, Jibin Sun, Hongwu Ma, Yanhe Ma
Publikováno v:
BioDesign Research, Vol 2022 (2022)
Revolutionary breakthroughs in artificial intelligence (AI) and machine learning (ML) have had a profound impact on a wide range of scientific disciplines, including the development of artificial cell factories for biomanufacturing. In this paper, we
Externí odkaz:
https://doaj.org/article/11b562051ff74fce81a6e54cee135592
Publikováno v:
Biomolecules, Vol 12, Iss 10, p 1499 (2022)
The genome-scale metabolic model (GEM) is a powerful tool for interpreting and predicting cellular phenotypes under various environmental and genetic perturbations. However, GEM only considers stoichiometric constraints, and the simulated growth and
Externí odkaz:
https://doaj.org/article/dd6683ef11db4d23b92f5d70989b8844
Publikováno v:
Information Sciences. 579:607-622
Missing values in clinical time-series data are pervasive and inevitable; they not only increase the complexity and difficulty of analyzing the data but also lead to biased results. To tackle these two problems, researchers have been exploring recurr
Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction
Autor:
Zhenkun Shi, Sen Wang, Lin Yue, Yijia Zhang, Binod Kumar Adhikari, Shuai Xue, Wanli Zuo, Xue Li
Publikováno v:
Information Sciences. 637:118984