Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dadong Dai"'
Autor:
Xueyu Wang, Zhiqing Guo, Dadong Dai, Chuanshuai Xie, Ziwei Zhao, Jinshui Zheng, Ming Sun, Donghai Peng
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Understanding the transcriptional regulatory characteristics throughout the embryogenesis of plant-parasitic nematodes is crucial for elucidating their developmental processes’ uniqueness. However, a challenge arises due to the lack of sui
Externí odkaz:
https://doaj.org/article/3121b0f723394b32aa8d35cd0cffc68d
Autor:
Dadong Dai, Chuanshuai Xie, Yayi Zhou, Dexin Bo, Shurong Zhang, Shengqiang Mao, Yucheng Liao, Simeng Cui, Zhaolu Zhu, Xueyu Wang, Fanling Li, Donghai Peng, Jinshui Zheng, Ming Sun
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract The formation and consequences of polyploidization in animals with clonal reproduction remain largely unknown. Clade I root-knot nematodes (RKNs), characterized by parthenogenesis and allopolyploidy, show a widespread geographical distributi
Externí odkaz:
https://doaj.org/article/eafa8817ba884423a1b57c87199674f5
Autor:
Dechao Zhang, Xudong Li, Yuehong Wu, Xuewei Xu, Yanxia Liu, Benze Shi, Yujie Peng, Dadong Dai, Zhongli Sha, Jinshui Zheng
Publikováno v:
Microbiome, Vol 11, Iss 1, Pp 1-20 (2023)
Abstract Background Ferromanganese nodule-bearing deep-sea sediments cover vast areas of the ocean floor, representing a distinctive habitat in the abyss. These sediments harbor unique conditions characterized by high iron concentration and low degra
Externí odkaz:
https://doaj.org/article/e87c67021efa45f494769e3795b428bc
Autor:
Xiaofeng Zhang, Nie Xin, Zhaolu Zhu, Xudong Li, Dadong Dai, Chunmei Pan, Donghai Peng, Ming Sun
Publikováno v:
Microbial Cell Factories, Vol 21, Iss 1, Pp 1-16 (2022)
Abstract Background Due to the detrimental effects of chemical preservatives, there has been an increasing demand for safer, healthier and natural bio-preservatives. Bacteriocins have attracted increasing interest because of their potential as natura
Externí odkaz:
https://doaj.org/article/f98a341c2f4945c0a18679fcdaf56ac1
Autor:
Bingyue Xin, Hualin Liu, Jinshui Zheng, Chuanshuai Xie, Ying Gao, Dadong Dai, Donghai Peng, Lifang Ruan, Huanchun Chen, Ming Sun
Publikováno v:
mSystems, Vol 5, Iss 3 (2020)
ABSTRACT Consumer demand for “fresh food” with no chemical preservatives has prompted researchers to pay more attention to natural antimicrobial peptides such as bacteriocins. Nisin is currently the most widely used food biopreservative among the
Externí odkaz:
https://doaj.org/article/d4ccab62ea7d4dba8be35b12292a3171
Publikováno v:
Antonie van Leeuwenhoek. 114:303-311
The Gram-stain-negative, aerobic, ovoid or rod-shaped bacterial strain, designated KN286T, was isolated from seawater of tropical western Pacific. Growth occurred between 15 and 40 °C (optimally at 30–35 °C), pH 6–9 (optimally at 7.0) and in th
Autor:
Huanchun Chen, Xin Bingyue, Ming Sun, Jinshui Zheng, Chuanshuai Xie, Lifang Ruan, Ying Gao, Donghai Peng, Dadong Dai, Hualin Liu
Publikováno v:
mSystems, Vol 5, Iss 3, p e00047-20 (2020)
mSystems
mSystems, Vol 5, Iss 3 (2020)
mSystems
mSystems, Vol 5, Iss 3 (2020)
Consumer demand for “fresh food” with no chemical preservatives has prompted researchers to pay more attention to natural antimicrobial peptides such as bacteriocins. Nisin is currently the most widely used food biopreservative among the bacterio
Publikováno v:
Intelligent Computing Theories and Application ISBN: 9783319959290
ICIC (1)
ICIC (1)
Since people spend more than 80% of the daytime in indoor environment every day, the effect on people’s health of the indoor PM2.5 is much greater than outdoor PM2.5. This paper proposes a method based on genetic neural network to predict the indoo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ad95e363c79264ccc208ef0345eb865
https://doi.org/10.1007/978-3-319-95930-6_71
https://doi.org/10.1007/978-3-319-95930-6_71
Publikováno v:
Intelligent Computing Methodologies ISBN: 9783319959566
ICIC (3)
ICIC (3)
Comparative folding G-protein coupled receptors are hampered by distant homology and limited experimental templates. In order to explore the possibility of ab initio modeling, we proposed an optimization method of GPCR two-dimensional topologies base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5a57ad9be7add58a772f2512c509d67
https://doi.org/10.1007/978-3-319-95957-3_77
https://doi.org/10.1007/978-3-319-95957-3_77