Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Zongyang Du"'
Autor:
Wenkai Wang, Chenjie Feng, Renmin Han, Ziyi Wang, Lisha Ye, Zongyang Du, Hong Wei, Fa Zhang, Zhenling Peng, Jianyi Yang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract RNA 3D structure prediction is a long-standing challenge. Inspired by the recent breakthrough in protein structure prediction, we developed trRosettaRNA, an automated deep learning-based approach to RNA 3D structure prediction. The trRosetta
Externí odkaz:
https://doaj.org/article/e73bf44fcb834b27bfaba50be86eb52f
Publikováno v:
Materials, Vol 17, Iss 17, p 4226 (2024)
The aim is to reduce the elastic deformation of the web and side walls of low-stiffness thin-walled beams when the floating fixture method is used. This paper takes the number and position of fixture points as the optimization variables, establishes
Externí odkaz:
https://doaj.org/article/a604d8d5254e484fa97532b7c0854d16
Autor:
Hong Su, Wenkai Wang, Zongyang Du, Zhenling Peng, Shang‐Hua Gao, Ming‐Ming Cheng, Jianyi Yang
Publikováno v:
Advanced Science, Vol 8, Iss 24, Pp n/a-n/a (2021)
Abstract The accuracy of de novo protein structure prediction has been improved considerably in recent years, mostly due to the introduction of deep learning techniques. In this work, trRosettaX, an improved version of trRosetta for protein structure
Externí odkaz:
https://doaj.org/article/1adb7fd7e3664787b1bbb69a39ad6da1
Publikováno v:
Journal of Transport and Land Use, Vol 12, Iss 1 (2019)
This paper investigates the impact of high-speed rail (HSR) on intercity travel behavior changes using the Chengdu-Chongqing (Chengyu) Passenger Dedicated Line (PDL) as an example. Based on the statistical analysis of survey data that consists of 138
Externí odkaz:
https://doaj.org/article/1487e0fe075a4948a8b969aa6202256e
Autor:
Wenkai Wang, Hong Su, Zongyang Du, Ivan Anishchenko, Zhenling Peng, Hong Wei, David Baker, Lisha Ye, Jianyi Yang
Publikováno v:
Nature Protocols. 16:5634-5651
The trRosetta (transform-restrained Rosetta) server is a web-based platform for fast and accurate protein structure prediction, powered by deep learning and Rosetta. With the input of a protein’s amino acid sequence, a deep neural network is first
Autor:
Chenjie Feng, Wenkai Wang, Renmin Han, Ziyi Wang, Lisa Ye, Zongyang Du, Hong Wei, Fa Zhang, Zhenling Peng, Jianyi Yang
RNA 3D structure prediction remains challenging though after years of efforts. Inspired by the recent breakthrough in protein structure prediction, we developed trRosettaRNA, a novel deep learning-based approach tode novoprediction of RNA 3D structur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be99e600271fd699a8660f3cbfea68c6
https://doi.org/10.1101/2022.10.24.513506
https://doi.org/10.1101/2022.10.24.513506
Publikováno v:
Bioinformatics. 36:2119-2125
MotivationThreading is one of the most effective methods for protein structure prediction. In recent years, the increasing accuracy in protein contact map prediction opens a new avenue to improve the performance of threading algorithms. Several preli
Autor:
Zongyang Du, Wenkai Wang, Zhenling Peng, Shang-Hua Gao, Jianyi Yang, Ming-Ming Cheng, Hong Su
Publikováno v:
Advanced Science, Vol 8, Iss 24, Pp n/a-n/a (2021)
Advanced Science
Advanced Science
The accuracy of de novo protein structure prediction has been improved considerably in recent years, mostly due to the introduction of deep learning techniques. In this work, trRosettaX, an improved version of trRosetta for protein structure predicti
Expressive voice conversion performs identity conversion for emotional speakers by jointly converting speaker identity and emotional style. Due to the hierarchical structure of speech emotion, it is challenging to disentangle the emotional style for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8412c6197ea48b0d77143f366e140b3d
http://arxiv.org/abs/2110.10326
http://arxiv.org/abs/2110.10326
Publikováno v:
Bioinformatics (Oxford, England).
Motivation Significant progress has been achieved in distance-based protein folding, due to improved prediction of inter-residue distance by deep learning. Many efforts are thus made to improve distance prediction in recent years. However, it remains