Zobrazeno 1 - 10
of 6 457
pro vyhledávání: '"Peng, Jian"'
Autor:
Wu, Ruidong, Guo, Ruihan, Wang, Rui, Luo, Shitong, Xu, Yue, Li, Jiahan, Ma, Jianzhu, Liu, Qiang, Luo, Yunan, Peng, Jian
Despite the striking success of general protein folding models such as AlphaFold2(AF2, Jumper et al. (2021)), the accurate computational modeling of antibody-antigen complexes remains a challenging task. In this paper, we first analyze AF2's primary
Externí odkaz:
http://arxiv.org/abs/2407.01649
Discovering new drug molecules is a pivotal yet challenging process due to the near-infinitely large chemical space and notorious demands on time and resources. Numerous generative models have recently been introduced to accelerate the drug discovery
Externí odkaz:
http://arxiv.org/abs/2406.04628
Autor:
Li, Jiahan, Cheng, Chaoran, Wu, Zuofan, Guo, Ruihan, Luo, Shitong, Ren, Zhizhou, Peng, Jian, Ma, Jianzhu
Peptides, short chains of amino acid residues, play a vital role in numerous biological processes by interacting with other target molecules, offering substantial potential in drug discovery. In this work, we present PepFlow, the first multi-modal de
Externí odkaz:
http://arxiv.org/abs/2406.00735
We introduce Statistical Flow Matching (SFM), a novel and mathematically rigorous flow-matching framework on the manifold of parameterized probability measures inspired by the results from information geometry. We demonstrate the effectiveness of our
Externí odkaz:
http://arxiv.org/abs/2405.16441
Autor:
Wei, Xiaoting, Huang, Shengzhi, Huang, Qiang, Liu, Dong, Leng, Guoyong, Yang, Haibo, Duan, Weili, Li, Jianfeng, Bai, Qingjun, Peng, Jian
Quantifying changes in the vulnerability of vegetation to various drought stresses in different seasons is important for rational and effective ecological conservation and restoration. However, the vulnerability of vegetation and its dynamics in a ch
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A89010
https://ul.qucosa.de/api/qucosa%3A89010/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A89010/attachment/ATT-0/
Autor:
Guan, Jiaqi, Zhou, Xiangxin, Yang, Yuwei, Bao, Yu, Peng, Jian, Ma, Jianzhu, Liu, Qiang, Wang, Liang, Gu, Quanquan
Designing 3D ligands within a target binding site is a fundamental task in drug discovery. Existing structured-based drug design methods treat all ligand atoms equally, which ignores different roles of atoms in the ligand for drug design and can be l
Externí odkaz:
http://arxiv.org/abs/2403.07902
This study evaluated the performance of the early, late and final runs of IMERG version 06 precipitation products at various spatial and temporal scales in China from 2008 to 2017, against observations from 696 rain gauges. The results suggest that t
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85364
https://ul.qucosa.de/api/qucosa%3A85364/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85364/attachment/ATT-0/
Autor:
Su, Zhongbo, Ma, Yaoming, Chen, Xuelong, Peng, Xiaohua, Du, Junping, Han, Cunbo, He, Yanbo, Hofste, Jan G., Li, Maoshan, Li, Mengna, Lv, Shaoning, Ma, Weiqiang, Polo, María J., Peng, Jian, Qian, Hui, Sobrino, Jose, van der Velde, Rogier, Wen, Jun, Wang, Binbin, Wang, Xin, Yu, Lianyu, Zhang, Pei, Zhao, Hong, Zheng, Han, Zheng, Donghai, Zhong, Lei, Zeng, Yijian
A better understanding of the water and energy cycles at climate scale in the Third Pole Environment is essential for assessing and understanding the causes of changes in the cryosphere and hydrosphere in relation to changes of plateau atmosphere in
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85365
https://ul.qucosa.de/api/qucosa%3A85365/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85365/attachment/ATT-0/
Autor:
Cheng, Chaoran, Peng, Jian
We propose a general architecture that combines the coefficient learning scheme with a residual operator layer for learning mappings between continuous functions in the 3D Euclidean space. Our proposed model is guaranteed to achieve SE(3)-equivarianc
Externí odkaz:
http://arxiv.org/abs/2311.10908
Diffusion models have revolutionized text-to-image generation with its exceptional quality and creativity. However, its multi-step sampling process is known to be slow, often requiring tens of inference steps to obtain satisfactory results. Previous
Externí odkaz:
http://arxiv.org/abs/2309.06380