Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ziheng Zou"'
Publikováno v:
Communications Chemistry, Vol 7, Iss 1, Pp 1-19 (2024)
Abstract Identifying active compounds for target proteins is fundamental in early drug discovery. Recently, data-driven computational methods have demonstrated promising potential in predicting compound activities. However, there lacks a well-designe
Externí odkaz:
https://doaj.org/article/e68d094b756c453aa40a4c9da7bebdcf
Publikováno v:
Animals, Vol 14, Iss 21, p 3062 (2024)
Interferons (IFNs) stimulate the expression of numerous IFN-stimulating genes via the Janus kinase-signal transducers and activators of the transcription (JAK-STAT) signaling pathway, which plays an important role in the host defense against viral in
Externí odkaz:
https://doaj.org/article/a9ac966ff80f4aaaa9472cded6152f3a
Autor:
Sijie Chen, Yanting Luo, Haoxiang Gao, Fanhong Li, Yixin Chen, Jiaqi Li, Renke You, Minsheng Hao, Haiyang Bian, Xi Xi, Wenrui Li, Weiyu Li, Mingli Ye, Qiuchen Meng, Ziheng Zou, Chen Li, Haochen Li, Yangyuan Zhang, Yanfei Cui, Lei Wei, Fufeng Chen, Xiaowo Wang, Hairong Lv, Kui Hua, Rui Jiang, Xuegong Zhang
Publikováno v:
iScience, Vol 25, Iss 5, Pp 104318- (2022)
Summary: The accumulation of massive single-cell omics data provides growing resources for building biomolecular atlases of all cells of human organs or the whole body. The true assembly of a cell atlas should be cell-centric rather than file-centric
Externí odkaz:
https://doaj.org/article/4443245c3093416e8c6100e8588b9049
Identifying active compounds for target proteins is one of the most fundamental objectives in early drug discovery. Recently, a growing number of computational methods, especially data-driven methods, have demonstrated promising potential in predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfc25a23ec80da1acbd781c6982ca180
https://doi.org/10.21203/rs.3.rs-2768252/v1
https://doi.org/10.21203/rs.3.rs-2768252/v1
Publikováno v:
SSRN Electronic Journal.
Modeling and predicting protein-ligand interactions have a wide range of applications in drug discovery and biological research. Appropriate and effective protein feature representations are of vital importance for developing computational approaches
Autor:
Haoxiang Gao, Xiaowo Wang, Kui Hua, Yixin Chen, Ziheng Zou, Weiyu Li, Renke You, Xi Xi, Lei Wei, Fufeng Chen, Qiuchen Meng, Wenrui Li, Hairong Lv, Yanfei Cui, Chen Li, Xuegong Zhang, Minsheng Hao, Sijie Chen, Mingli Ye, Rui Jiang, Yangyuan Zhang, Fanhong Li, Jiaqi Li, Haiyang Bian, Haochen Li, Yanting Luo
Publikováno v:
iScience. 25(5)
SUMMARYSingle-cell omics data can characterize multifaceted features of massive cells and bring significant insights to biomedical researches. The accumulation of single-cell data provides growing resources for constructing atlases for all cells of a
Publikováno v:
Environmental Pollution. 247:108-117
Polycyclic aromatic hydrocarbons and zinc oxide nanoparticles are ubiquitous pollutants in the environment. However, little information is available about their toxicity interaction in food crops. In this study, seed germination and hydroponic experi
Publikováno v:
Environmental Science & Technology. 53:3499-3507
Rivers are of increasing concern as sources of atmospheric methane (CH4), while estimates of global CH4 emissions from rivers are poorly constrained due to a lack of representative measurements in tropical and subtropical latitudes. Measurements of c
Publikováno v:
The Science of the total environment. 828
Veterinary antibiotics are widely used in many countries worldwide to treat diseases and protect the health of animals. However, the effects of sulfonamide antibiotics introduced via manure and wastewater irrigation on nitrogen (N) loss in the soil-p
Publikováno v:
Bioinformatics (Oxford, England).
Clustering is a key step in revealing heterogeneities in single-cell data. Cell heterogeneity can be explored at different resolutions and the resulted varying cell states are inherently nested. However, most existing single-cell clustering methods o