Zobrazeno 1 - 10
of 89
pro vyhledávání: '"WEIFAN ZHENG"'
Autor:
Xialan Dong, Weifan Zheng
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100060- (2024)
Drug repurposing is an approach to identifying new uses for existing drugs, where advanced computational methods, such as text and graph embedding techniques, are playing an ever-increasing role. This review provides a timely overview of these embedd
Externí odkaz:
https://doaj.org/article/73c3f83822524926b9d5f3693f7e1ba0
Autor:
Dina Abu Rabe, Lhoucine Chdid, David R. Lamson, Christopher P. Laudeman, Michael Tarpley, Naglaa Elsayed, Ginger R. Smith, Weifan Zheng, Maria S. Dixon, Kevin P. Williams
Publikováno v:
Molecules, Vol 29, Iss 13, p 3095 (2024)
Aberrant activation of hedgehog (Hh) signaling has been implicated in various cancers. Current FDA-approved inhibitors target the seven-transmembrane receptor Smoothened, but resistance to these drugs has been observed. It has been proposed that a mo
Externí odkaz:
https://doaj.org/article/5c0595c5fb6c45699c9a2f3e4a9ae6c0
Publikováno v:
Cancer Informatics, Vol 22 (2023)
The aim of this study was to utilize a computational methodology based on Gene Reversal Rate (GRR) scoring to repurpose existing drugs for a rare and understudied cancer: inflammatory breast cancer (IBC). This method uses IBC-related gene expression
Externí odkaz:
https://doaj.org/article/63ccd475f3174e1a8a828d5002b82df9
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
The superblock has become a typical land use in China and many growing Asian cities. Superblock access points generate traffic congestion and many conflicts among all road users. Driveway design is a critical process and has a major impact on traffic
Externí odkaz:
https://doaj.org/article/f3ceaf3cd1ee4de6a4cb0631c6b1bf83
Publikováno v:
Molecules, Vol 27, Iss 23, p 8280 (2022)
Natural products and their derivatives have been shown to be effective drug candidates against various diseases for many years. Over a long period of time, nature has produced an abundant and prosperous source pool for novel therapeutic agents with d
Externí odkaz:
https://doaj.org/article/6ecd3785bf2f46298e686fa505d53e59
Autor:
Xialan Dong, Weifan Zheng
Publikováno v:
Molecules, Vol 27, Iss 19, p 6412 (2022)
In designing effective siRNAs for a specific mRNA target, it is critically important to have predictive models for the potency of siRNAs. None of the published methods characterized the chemical structures of individual nucleotides constituting a siR
Externí odkaz:
https://doaj.org/article/e34d50cf728b4529ab0767b3e7c5b3c6
Publikováno v:
Molecules, Vol 25, Iss 17, p 3933 (2020)
Drug repurposing is an effective means for rapid drug discovery. The aim of this study was to develop and validate a computational methodology based on Literature-Wide Association Studies (LWAS) of PubMed to repurpose existing drugs for a rare inflam
Externí odkaz:
https://doaj.org/article/88bbedd25b1a42e895c20a9bec020ec2
Publikováno v:
Complexity, Vol 2017 (2017)
This paper studies the global exponential stability for a class of impulsive disturbance complex-valued Cohen-Grossberg neural networks with both time-varying delays and continuously distributed delays. Firstly, the existence and uniqueness of the eq
Externí odkaz:
https://doaj.org/article/b08d04b8753e4763becd6d8897917f6a
Publikováno v:
Evolutionary Bioinformatics, Vol 2014, Iss 10, Pp 11-16 (2014)
Externí odkaz:
https://doaj.org/article/44f8a07540364e478a3e5598557fafea
Autor:
Suryakant Niture, Xialan Dong, Elena Arthur, Uchechukwu Chimeh, Samiksha S. Niture, Weifan Zheng, Deepak Kumar
Publikováno v:
Cells, Vol 8, Iss 1, p 9 (2018)
Tumor necrosis factor (TNF)-α-induced protein 8 (TNFAIP8) is a founding member of the TIPE family, which also includes TNFAIP8-like 1 (TIPE1), TNFAIP8-like 2 (TIPE2), and TNFAIP8-like 3 (TIPE3) proteins. Expression of TNFAIP8 is strongly associated
Externí odkaz:
https://doaj.org/article/2337dc262eb84d9fb4f5e8a43a4de039