Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Yingsheng Zhang"'
Autor:
Weisheng Zheng, Mengchen Pu, Xiaorong Li, Zhaolan Du, Sutong Jin, Xingshuai Li, Jielong Zhou, Yingsheng Zhang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Metastatic propagation is the leading cause of death for most cancers. Prediction and elucidation of metastatic process is crucial for the treatment of cancer. Even though somatic mutations have been linked to tumorigenesis and metastasis, i
Externí odkaz:
https://doaj.org/article/f58d81d234f3424aa5c1fb263f083383
Autor:
Mengchen Pu, Kaiyang Cheng, Xiaorong Li, Yucui Xin, Lanying Wei, Sutong Jin, Weisheng Zheng, Gongxin Peng, Qihong Tang, Jielong Zhou, Yingsheng Zhang
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 5099-5110 (2023)
Synthetic lethal (SL) pairs are pairs of genes whose simultaneous loss-of-function results in cell death, while a damaging mutation of either gene alone does not affect the cell’s survival. This makes SL pairs attractive targets for precision cance
Externí odkaz:
https://doaj.org/article/308c4c25a7454031a4c2093276b0154b
Autor:
Lvwei Wang, Rong Bai, Xiaoxuan Shi, Wei Zhang, Yinuo Cui, Xiaoman Wang, Cheng Wang, Haoyu Chang, Yingsheng Zhang, Jielong Zhou, Wei Peng, Wenbiao Zhou, Bo Huang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract We report for the first time the use of experimental electron density (ED) as training data for the generation of drug-like three-dimensional molecules based on the structure of a target protein pocket. Similar to a structural biologist buil
Externí odkaz:
https://doaj.org/article/8c7d53455c744d348dfb9e924f7d007c
Autor:
Yucui Xin, Yingsheng Zhang
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Tumor cells can result from gene mutations and over-expression. Synthetic lethality (SL) offers a desirable setting where cancer cells bearing one mutated gene of an SL gene pair can be specifically targeted by disrupting the function of the other ge
Externí odkaz:
https://doaj.org/article/7bb0ce666cc34078bffe194bfbe62e77
Autor:
Chunming Guo, Mingyi Zhao, Xinbing Sui, Zarine Balsara, Songhui Zhai, Michael Ahdoot, Yingsheng Zhang, Christa M. Lam, Ping Zhu, Xue Li
Publikováno v:
iScience, Vol 26, Iss 6, Pp 106925- (2023)
Summary: Urinary tract infection (UTI) is a pervasive health problem worldwide. Patients with a history of UTIs suffer increased risk of recurrent infections, a major risk of antibiotic resistance. Here, we show that bladder infections induce express
Externí odkaz:
https://doaj.org/article/885eac0e2051410c9106f7ba674fc0a1
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
TET2 loss is associated with human cancers but its role in the mammary gland development and tumorigenesis is unclear. Here, the authors show that TET2–FOXP1 complex mediates demethylation of genes involved in luminal lineage commitment and endocri
Externí odkaz:
https://doaj.org/article/309ae989265d42cca9680720580f69f9
Publikováno v:
Life Science Alliance; Feb2024, Vol. 7 Issue 2, p1-14, 14p
We proposed a molecular orbital based machine learning model for predicting accurate CCSD(T) correlation energies. The model, named as PairNet, shows excellent transferability on several public data sets using features inspired by pair natural orbita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cf6d640528954ec3521179e4ce9d7a8
https://doi.org/10.26434/chemrxiv-2023-n1skn
https://doi.org/10.26434/chemrxiv-2023-n1skn
Autor:
Weisheng Zheng, Mengchen Pu, Xiaorong Li, Sutong Jin, Xingshuai Li, Jielong Zhou, Yingsheng Zhang
Metastatic propagation is the leading cause of death for most cancers. Prediction and elucidation of metastatic process is crucial for the therapeutic treatment of cancers. Even though somatic mutations have been directly linked to tumorigenesis and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7be19a3e15826bfb8aa262f34def99a
https://doi.org/10.1101/2022.09.29.510207
https://doi.org/10.1101/2022.09.29.510207
Autor:
Lvwei Wang, Rong Bai, Xiaoxuan Shi, Wei Zhang, Yinuo Cui, Xiaoman Wang, Cheng Wang, Haoyu Chang, Yingsheng Zhang, Jielong Zhou, Wei Peng, Wenbiao Zhou, Bo Huang
We report for the first time the use of experimental electron density (ED) as training data for the generation of drug-like three-dimensional molecules based on the structure of a target protein pocket. Similar to a structural biologist building mole
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86aee53fd0bbe19344370e2b429e19a0
https://doi.org/10.1101/2022.06.11.495756
https://doi.org/10.1101/2022.06.11.495756