Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shuaishi Gao"'
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Metabolic reprogramming is one of the hallmarks of tumorigenesis. Understanding the metabolic changes in cancer cells may provide attractive therapeutic targets and new strategies for cancer therapy. The metabolic states are not the same in different
Externí odkaz:
https://doaj.org/article/6a4a3e4fd4c64de1abe7cdea8868fc00
Autor:
Ziwei Dai, Shiyu Yang, Liyan Xu, Hongrong Hu, Kun Liao, Jianghuang Wang, Qian Wang, Shuaishi Gao, Bo Li, Luhua Lai
Publikováno v:
Cell Communication and Signaling, Vol 17, Iss 1, Pp 1-15 (2019)
Abstract Background Cancer cells undergo global reprogramming of cellular metabolism to satisfy demands of energy and biomass during proliferation and metastasis. Computational modeling of genome-scale metabolic models is an effective approach for de
Externí odkaz:
https://doaj.org/article/dc4e7c645cb24a8aac84f8cffbd505ea
Autor:
Weilin Zhang, Jianfeng Pei, Yihang Shen, Youjun Xu, Qiwan Hu, Shuaishi Gao, Shiwei Wang, Fangjin Chen, Luhua Lai, Xiaomin Ma
Publikováno v:
Nucleic Acids Research
CavityPlus is a web server that offers protein cavity detection and various functional analyses. Using protein three-dimensional structural information as the input, CavityPlus applies CAVITY to detect potential binding sites on the surface of a give
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef5059d1e248b4704542f382e7f996fe
http://europepmc.org/articles/PMC6031032
http://europepmc.org/articles/PMC6031032
Autor:
Bo Li, Kun Liao, Shiyu Yang, Shuaishi Gao, Ziwei Dai, Hongrong Hu, Liyan Xu, Jianghuang Wang, Luhua Lai, Qian Wang
Publikováno v:
Cell Communication and Signaling, Vol 17, Iss 1, Pp 1-15 (2019)
Cell Communication and Signaling : CCS
Cell Communication and Signaling : CCS
Background Cancer cells undergo global reprogramming of cellular metabolism to satisfy demands of energy and biomass during proliferation and metastasis. Computational modeling of genome-scale metabolic models is an effective approach for designing n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9341e1e33e0981656ef4678b6d78cb99
https://doi.org/10.1186/s12964-019-0439-y
https://doi.org/10.1186/s12964-019-0439-y
Autor:
Ziwei Dai, Shiyu Yang, Liyan Xu, Hongrong Hu, Liao, Kun, Jianghuang Wang, Wang, Qian, Shuaishi Gao, Li, Bo, Luhua Lai
Additional file 1: Supplementary materials and methods. Fig. S1. (Related to Fig. 2). Comparison between actual growth rates of NCI-60 cell lines and growth rates predicted by alternative models. Fig. S2 (Related to Fig. 2). Comparisons between actua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46bbddded135be998740a77cb072d3f4
Autor:
Shuaishi Gao, Luhua Lai
Publikováno v:
Future medicinal chemistry. 10(18)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d81763189f8bba66d99b61097dd1956
https://pubmed.ncbi.nlm.nih.gov/30043635
https://pubmed.ncbi.nlm.nih.gov/30043635
Autor:
Shuye Deng, Shuaishi Gao, Ziwei Dai, Liyan Xu, Shiyu Yang, Qian Wang, Qiyi Chen, Hongrong Hu, Luhua Lai, Bo Li, Kun Liao
Computational modeling of the genome-wide metabolic network is essential for designing new therapeutics targeting cancer-associated metabolic disorder, which is a hallmark of human malignancies. However, previous studies generally assumed that metabo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dee2819758aaea7e67af534248bb5071
Publikováno v:
Journal of chemical information and modeling. 55(10)
Drug-induced liver injury (DILI) has been the single most frequent cause of safety-related drug marketing withdrawals for the past 50 years. Recently, deep learning (DL) has been successfully applied in many fields due to its exceptional and automati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e3cdb24185f910a1ab92cba617f0f50
https://pubmed.ncbi.nlm.nih.gov/26437739
https://pubmed.ncbi.nlm.nih.gov/26437739
Publikováno v:
Journal of Chemical Information & Modeling; Oct2015, Vol. 55 Issue 10, p2085-2093, 9p
Publikováno v:
Frontiers in Endocrinology; 2023, p1-11, 11p