Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shenghui Guan"'
Autor:
Shenghui Guan, Guanyu Wang
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100070- (2024)
Drug Research and Development (R&D) is a complex and difficult process, and current drug R&D faces the challenges of long time span, high investment, and high failure rate. Machine learning, with its powerful learning ability to characterize big data
Externí odkaz:
https://doaj.org/article/19392fb39e4548b5931c06959f78037e
Autor:
Jiashun Mao, Shenghui Guan, Yongqing Chen, Amir Zeb, Qingxiang Sun, Ranlan Lu, Jie Dong, Jianmin Wang, Dongsheng Cao
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 463-471 (2023)
Antimicrobial resistance could threaten millions of lives in the immediate future. Antimicrobial peptides (AMPs) are an alternative to conventional antibiotics practice against infectious diseases. Despite the potential contribution of AMPs to the an
Externí odkaz:
https://doaj.org/article/f9027552d41648139c9ab1eaefbfad42
Autor:
Jiashun Mao, Amir Zeb, Min Sung Kim, Hyeon-Nae Jeon, Jianmin Wang, Shenghui Guan, Kyoung Tai NO
Publikováno v:
Heliyon, Vol 8, Iss 8, Pp e10011- (2022)
Dielectric constant (DC, ε) is a fundamental parameter in material sciences to measure polarizability of the system. In industrial processes, its value is an imperative indicator, which demonstrates the dielectric property of material and compiles i
Externí odkaz:
https://doaj.org/article/b32d6d4f164b45e887a3ded2fb5e9cbf
Autor:
Jiashun Mao, Javed Akhtar, Xiao Zhang, Liang Sun, Shenghui Guan, Xinyu Li, Guangming Chen, Jiaxin Liu, Hyeon-Nae Jeon, Min Sung Kim, Kyoung Tai No, Guanyu Wang
Publikováno v:
iScience, Vol 24, Iss 9, Pp 103052- (2021)
Summary: Early quantitative structure-activity relationship (QSAR) technologies have unsatisfactory versatility and accuracy in fields such as drug discovery because they are based on traditional machine learning and interpretive expert features. The
Externí odkaz:
https://doaj.org/article/bb28c7b4621a49fa8a2942d4e2d7625e
Publikováno v:
Machine Learning and Deep Learning in Computational Toxicology ISBN: 9783031207297
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8de24a85e55594140986bbcd26ba6bc
https://doi.org/10.1007/978-3-031-20730-3_4
https://doi.org/10.1007/978-3-031-20730-3_4
Autor:
Tianzi Wei, Hao Wang, Xueqing Wu, Yi Lu, Shenghui Guan, Fengquan Dong, Chenle Dong, Guli Zhu, Yuzhou Bao, Jian Zhang, Guanyu Wang, Haiying Li
COVID-19 has globally spread and has become a new pandemic, but there are still no effective drugs or vaccines to treat or prevent this disease. SARS-CoV-2 invades human cells through its spike proteins interacting with human ACE2 receptors, which ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9312b3df917c0432ca7ae7df81961c08
https://doi.org/10.21203/rs.3.rs-17720/v2
https://doi.org/10.21203/rs.3.rs-17720/v2
Autor:
Xiao Zhang, Hyeon-Nae Jeon, Jiaxin Liu, Guangming Chen, Shenghui Guan, Kyoung Tai No, Liang Sun, Javed Akhtar, Jiashun Mao, Xinyu Li, Guanyu Wang, Min Sung Kim
Publikováno v:
iScience, Vol 24, Iss 9, Pp 103052-(2021)
iScience
iScience
Summary Early quantitative structure-activity relationship (QSAR) technologies have unsatisfactory versatility and accuracy in fields such as drug discovery because they are based on traditional machine learning and interpretive expert features. The