Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Xianggen Liu"'
Autor:
Yihang Hao, Haofan Wang, Xianggen Liu, Wenrui Gai, Shilong Hu, Wencheng Liu, Zhuang Miao, Yu Gan, Xianghua Yu, Rongjia Shi, Yongzhen Tan, Ting Kang, Ao Hai, Yi Zhao, Yihang Fu, Yaling Tang, Ling Ye, Jin Liu, Xinhua Liang, Bowen Ke
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 14, Iss 7, Pp 3086-3109 (2024)
Multifunctional therapeutics have emerged as a solution to the constraints imposed by drugs with singular or insufficient therapeutic effects. The primary challenge is to integrate diverse pharmacophores within a single-molecule framework. To address
Externí odkaz:
https://doaj.org/article/52ed72ae734f42fbbf285e11011360e7
Publikováno v:
Energy Reports, Vol 11, Iss , Pp 736-744 (2024)
Wind Power Forecasting has emerged as a critical and dynamic research area in response to the growing demand for renewable energy. The unpredictable and stochastic nature of wind conditions, encompassing factors such as wind speed, wind direction, ai
Externí odkaz:
https://doaj.org/article/1f1f6127f90942d58eacd424c5a5f43a
Publikováno v:
Anesthesiology and Perioperative Science, Vol 2, Iss 1, Pp 1-25 (2024)
Abstract Computer-aided drug design (CADD) has emerged as a highly effective and indispensable tool for streamlining the drug discovery process, leading to significant reductions in cost and time. The integration of CADD with machine learning (ML) an
Externí odkaz:
https://doaj.org/article/9ad92b6f84c4434aa8b6c56566478900
Publikováno v:
Haiyang Kaifa yu guanli, Vol 39, Iss 8, Pp 91-98 (2022)
To evaluate the effects of operating nuclear power plants on the ecological environment in the surrounding sea areas, 4 nuclear power plants which had been operated along the coast of China, namely Tianwan Nuclear Power Plant, Qinshan Nuclear Power P
Externí odkaz:
https://doaj.org/article/4a72a139ac414905b83369197c297bcf
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 8, p e1009284 (2021)
Modeling the impact of amino acid mutations on protein-protein interaction plays a crucial role in protein engineering and drug design. In this study, we develop GeoPPI, a novel structure-based deep-learning framework to predict the change of binding
Externí odkaz:
https://doaj.org/article/e6b3c1e20d5048b595ed2fb8313558fb
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
In early years, paraphrase generation typically adopts rule-based methods, which are interpretable and able to make global transformations to the original sentence. But they struggle to produce fluent paraphrases. Recently, deep neural networks have
Publikováno v:
Neurocomputing. 371:177-187
Text classification is one of the key problems in natural language processing (NLP), and in early years, it was usually accomplished by feature-based machine learning models. Recently, the deep neural network has become a powerful learning machine, m
Autor:
Fei Ma, Ziliang Li, Seng Song, Guotong Xie, Yixuan Qiao, Xianggen Liu, Peng Gao, Pengyong Li, Jun Wang
Publikováno v:
IJCAI
Self-supervised learning has gradually emerged as a powerful technique for graph representation learning. However, transferable, generalizable, and robust representation learning on graph data still remains a challenge for pre-training graph neural n
Autor:
Hailin Hu, Chengdong Zhang, Yangyang Li, Dan Zhao, Jianyang Zeng, Sen Song, An Xiao, Xianggen Liu, Tao Jiang
Publikováno v:
Briefings in Bioinformatics. 22
Translation elongation is a crucial phase during protein biosynthesis. In this study, we develop a novel deep reinforcement learning-based framework, named Riboexp, to model the determinants of the uneven distribution of ribosomes on mRNA transcripts
EEG signals have been reported to be informative and reliable for emotion recognition in recent years. However, the inter-subject variability of emotion-related EEG signals still poses a great challenge for the practical applications of EEG-based emo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fe35027e1f8e39f87ecda083894d866