Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Yu, Yuanxi"'
Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Recently, due to their capacity and representation ability, pre-trained protein language models have achieved state-of-the-art performance in predictin
Externí odkaz:
http://arxiv.org/abs/2402.02004
Autor:
Jiang, Fan, Li, Mingchen, Dong, Jiajun, Yu, Yuanxi, Sun, Xinyu, Wu, Banghao, Huang, Jin, Kang, Liqi, Pei, Yufeng, Zhang, Liang, Wang, Shaojie, Xu, Wenxue, Xin, Jingyao, Ouyang, Wanli, Fan, Guisheng, Zheng, Lirong, Tan, Yang, Hu, Zhiqiang, Xiong, Yi, Feng, Yan, Yang, Guangyu, Liu, Qian, Song, Jie, Liu, Jia, Hong, Liang, Tan, Pan
Designing protein mutants of both high stability and activity is a critical yet challenging task in protein engineering. Here, we introduce PRIME, a deep learning model, which can suggest protein mutants of improved stability and activity without any
Externí odkaz:
http://arxiv.org/abs/2307.12682
Publikováno v:
ACS Nano 2024, 18, 36, 24829 - 24841
In the realm of nanoscience, the dynamic behaviors of liquids at scales beyond the conventional structural relaxation time, $\tau$, unfold a fascinating blend of solid-like characteristics, including the propagation of collective shear waves and the
Externí odkaz:
http://arxiv.org/abs/2307.11429
Autor:
Jin, Sha, Fan, Xue, Stamper, Caleb, Mole, Richard A., Yu, Yuanxi, Hong, Liang, Yu, Dehong, Baggioli, Matteo
Publikováno v:
Scientific Reports volume 14, Article number: 18805 (2024)
We report neutron-scattering measurements of the density of states (DOS) of water and liquid Fomblin in a wide range of temperatures. In the liquid phase, we confirm the presence of a universal low-energy linear scaling of the experimental DOS as a f
Externí odkaz:
http://arxiv.org/abs/2304.14609
Autor:
Yu, Yuanxi, Yang, Chenxing, Baggioli, Matteo, Phillips, Anthony E., Zaccone, Alessio, Zhang, Lei, Kajimoto, Ryoichi, Nakamura, Mitsutaka, Yu, Dehong, Hong, Liang
Publikováno v:
Nat Commun 13, 3649 (2022)
Atomic vibrations play a vital role in the functions of various physical, chemical, and biological systems. The vibrational properties and the specific heat of crystalline bulk materials are well described by Debye theory, which successfully predicts
Externí odkaz:
http://arxiv.org/abs/2108.07521
Autor:
Yu, Lei, Guo, Zhaoyang, Yin, Yuanchen, Sun, Haishui, Yu, Yuanxi, Ni, Xihui, Ji, Honghai, Yang, Yiming, Hu, Jingzhou
Publikováno v:
In Materials Today Chemistry December 2023 34
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Autor:
Tan, Pan, Li, Mingchen, Yu, Yuanxi, Jiang, Fan, Zheng, Lirong, Wu, Banghao, Sun, Xinyu, Kang, Liqi, Song, Jie, Zhang, Liang, Xiong, Yi, Ouyang, Wanli, Hu, Zhiqiang, Fan, Guisheng, Pei, Yufeng, Hong, Liang
Designing protein mutants with high stability and activity is a critical yet challenging task in protein engineering. Here, we introduce PRIME, an innovative deep learning approach for the zero-shot prediction of both protein stability and enzymatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=arXiv_______::a2531c09aaa28f154b02920fe5e89867
http://arxiv.org/abs/2307.12682
http://arxiv.org/abs/2307.12682