Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Shangbo Ning"'
Autor:
Chenyang Niu, Dongwen Li, Yujia Zhang, Yunkai Wang, Shangbo Ning, Gang Zhao, Zhihui Ye, Yu Kong, Donghong Yang
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
Clear aligner therapy is a rapidly developing orthodontic treatment. 3D-printing technology, which enables the creation of complex geometric structures with high precision, has been used in dentistry. This article aims to summarize the various aspect
Externí odkaz:
https://doaj.org/article/25bd77cdf21c4e4d9f2d02d57d395761
Autor:
Pooja Khatkar, Gifty Mensah, Shangbo Ning, Maria Cowen, Yuriy Kim, Anastasia Williams, Fardokht A. Abulwerdi, Yunjie Zhao, Chen Zeng, Stuart F. J. Le Grice, Fatah Kashanchi
Publikováno v:
Pharmaceuticals, Vol 17, Iss 1, p 33 (2023)
The HIV-1 transactivator protein Tat interacts with the transactivation response element (TAR) at the three-nucleotide UCU bulge to facilitate the recruitment of transcription elongation factor-b (P-TEFb) and induce the transcription of the integrate
Externí odkaz:
https://doaj.org/article/16630d3bc2964e1d8a47b520074e38ee
Autor:
Shangbo Ning, Hong-Jun Chao, Shuangli Li, Rui Zhou, Lei Zou, Xu Zhang, Jun Liu, Dazhong Yan, Mojie Duan
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 1132-1141 (2022)
As the most abundant post-translation modifications (PTMs), the phosphorylation usually occurred on the intrinsically disordered regions (IDRs). The regulation on the structures and interactions of IDRs induced by phosphorylation is critical to the f
Externí odkaz:
https://doaj.org/article/8e795e764e2b4dbbb3f42146b1b78267
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 1, Pp 456-470 (2021)
It is widely believed that tertiary protein-ligand interactions are essential in determining protein function. Currently, the structure sampling and scoring function in traditional docking methods still have limitations. Therefore, new methods for pr
Externí odkaz:
https://doaj.org/article/3c29dc8b059b43cfa792bb5f3de46ae8
Autor:
Cuncai Lv, Xianhua Bai, Shangbo Ning, Chenxi Song, Qingqing Guan, Bang Liu, Yaguang Li, Jinhua Ye
Publikováno v:
ACS Nano. 17:1725-1738
Publikováno v:
Physical Chemistry Chemical Physics. 25:117-123
The enhancement of photogenerated carrier separation efficiency is a significant factor in the improvement of photocatalyst performance in photocatalytic hydrogen evolution. Heteroatom doping and defect construction have been considered valid methods
Publikováno v:
Energy & Fuels. 36:11380-11393
Publikováno v:
Angewandte Chemie. 135
Publikováno v:
International Journal of Hydrogen Energy. 47:14044-14052
Publikováno v:
Physical Chemistry Chemical Physics. 24:10124-10133
We propose a novel deep learning-based approach, DLSSAffinity, to accurately predict protein–ligand binding affinity. We show that combining global sequence and local structure information as the input features of a deep learning model can improve