Integration of microbial and chemical synthesis for the efficient production of plitidepsin, a promising anticancer and antiviral agent
Haili Zhang(Shenzhen Bay Laboratory), Xiaoyu Tang(South China Agricultural University), Minghao Sui(China Pharmaceutical University), Mengdi Liang(Anhui University of Science and Technology), Qiliang Lai(Fujian Institute of Oceanography), Zongze Shao(Ministry of Natural Resources), Jie Shen(Xinjiang Medical University), Lin Yang(Fujian Medical University), Min Zheng(Nanchang Hangkong University), Zhen Hui(Shenzhen Bay Laboratory), Shipeng Huang(Research Institute of Petroleum Exploration and Development), Xuyang Li(Shenzhen Bay Laboratory), Jie Dou(China Three Gorges University), Yun Ge(Shenzhen Bay Laboratory), Wenguang Shi(Shenzhen Bay Laboratory), Mingwei Cai(Chinese Academy of Sciences), Xiaozhou Luo(State Key Laboratory of Synthetic Chemistry)
Cited by 2
Related Papers
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
|Earth-Science Reviews|2020|1.1k
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
|The Science of The Total Environment|2019|599
Camrelizumab in Combination with Apatinib in Patients with Advanced Hepatocellular Carcinoma (RESCUE): A Nonrandomized, Open-label, Phase II Trial
|Clinical Cancer Research|2020|576
<p>Umbilical Cord-Derived Mesenchymal Stem Cell-Derived Exosomes Combined Pluronic F127 Hydrogel Promote Chronic Diabetic Wound Healing and Complete Skin Regeneration</p>
|International Journal of Nanomedicine|2020|521