Zobrazeno 1 - 10
of 406
pro vyhledávání: '"Runsheng Chen"'
Autor:
Xiaoning Qi, Lianhe Zhao, Chenyu Tian, Yueyue Li, Zhen-Lin Chen, Peipei Huo, Runsheng Chen, Xiaodong Liu, Baoping Wan, Shengyong Yang, Yi Zhao
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Understanding transcriptional responses to chemical perturbations is central to drug discovery, but exhaustive experimental screening of disease-compound combinations is unfeasible. To overcome this limitation, here we introduce PRnet, a per
Externí odkaz:
https://doaj.org/article/a8d19c49ce4a41539257864241c83129
Autor:
Lihui Liu, Ziyang Liu, Qinghua Liu, Wei Wu, Peng Lin, Xing Liu, Yuechuan Zhang, Dongpeng Wang, Briana C. Prager, Ryan C. Gimple, Jichuan Yu, Weixi Zhao, Qiulian Wu, Wei Zhang, Erzhong Wu, Xiaomin Chen, Jianjun Luo, Jeremy N. Rich, Qi Xie, Tao Jiang, Runsheng Chen
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Glioblastoma (GBM) ranks among the most lethal of human cancers, containing glioma stem cells (GSCs) that display therapeutic resistance. Here, we report that the lncRNA INHEG is highly expressed in GSCs compared to differentiated glioma cel
Externí odkaz:
https://doaj.org/article/89d5aa57675b4f25a388ae2c629d485a
Autor:
Runsheng Chen
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 21, Iss 5, Pp 897-899 (2023)
Externí odkaz:
https://doaj.org/article/0ab0477d44514fb094fe95d3d13ca26f
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 8, Iss 1, Pp 1-14 (2023)
Abstract AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind that can predict three-dimensional (3D) structures of proteins from amino acid sequences with atomic-level accuracy. Protein structure prediction is one of the
Externí odkaz:
https://doaj.org/article/1885b91e61c14262bc7f2280d4533480
Autor:
Na Zhang, Zunling Zhao, Yin Zhao, Lei Yang, Yanhong Xue, Yun Feng, Jianjun Luo, Runsheng Chen, Wei Wei, Yan Qin
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 8, Iss 1, Pp 1-4 (2023)
Externí odkaz:
https://doaj.org/article/af77d8c73db942b1a11c6d4608b8b489
Publikováno v:
Fundamental Research, Vol 3, Iss 5, Pp 655-656 (2023)
Externí odkaz:
https://doaj.org/article/800a79175c8c4f73824cd402b67d70c2
Autor:
Yufan Luo, Liu Liu, Zihao He, Shanshan Zhang, Peipei Huo, Zhihao Wang, Qin Jiaxin, Lianhe Zhao, Yang Wu, Dongdong Zhang, Dechao Bu, Runsheng Chen, Yi Zhao
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 5680-5689 (2022)
Recent advances in RNA engineering have enabled the development of RNA-based therapeutics for a broad spectrum of applications. Developing RNA therapeutics start with targeted RNA screening and move to the drug design and optimization. However, exist
Externí odkaz:
https://doaj.org/article/a7006a8caab44851925127c3a14bf19b
Autor:
Le Zhang, Jiayidaer Badai, Guan Wang, Xufang Ru, Wenkai Song, Yujie You, Jiaojiao He, Suna Huang, Hua Feng, Runsheng Chen, Yi Zhao, Yujie Chen
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
IntroductionCentral nervous system (CNS) diseases, such as neurodegenerative disorders and brain diseases caused by acute injuries, are important, yet challenging to study due to disease lesion locations and other complexities.MethodsUtilizing the po
Externí odkaz:
https://doaj.org/article/40c9d7fe33d348c7ad313cbd725f66b5
Autor:
Yufan Luo, Liu Liu, Zihao He, Shanshan Zhang, Peipei Huo, Zhihao Wang, Qin Jiaxin, Lianhe Zhao, Yang Wu, Dongdong Zhang, Dechao Bu, Runsheng Chen, Yi Zhao
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3540- (2023)
Externí odkaz:
https://doaj.org/article/aff4160043be4bdc970fb90e6bd85fbf
Publikováno v:
Materials, Vol 16, Iss 14, p 5172 (2023)
Currently, oil-coated PVA fibers are the most commonly used material in ECC research. However, the high price limits the application of PVA-ECC in practical engineering. In order to reduce the cost, one of the methods is to partially replace the PVA
Externí odkaz:
https://doaj.org/article/0d6c76aa1027498ca69cf0281cafc6d6