Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Maha A. Thafar"'
Autor:
Somayah Albaradei, Nofe Alganmi, Abdulrahman Albaradie, Eaman Alharbi, Olaa Motwalli, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Circulating tumor cells (CTCs) are cancer cells that detach from the primary tumor and intravasate into the bloodstream. Thus, non-invasive liquid biopsies are being used to analyze CTC-expressed genes to identify potential cancer biomarkers
Externí odkaz:
https://doaj.org/article/2124116d3fff4dc1853d020be4f532a6
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 4, p 59 (2024)
The growth in academic and scientific publications has increased very rapidly. Researchers must choose a representative and significant literature for their research, which has become challenging worldwide. Usually, the paper citation number indicate
Externí odkaz:
https://doaj.org/article/da9a089536ac4ba2a3b662d916dcee4d
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract We still do not have an effective treatment for Alzheimer's disease (AD) despite it being the most common cause of dementia and impaired cognitive function. Thus, research endeavors are directed toward identifying AD biomarkers and targets.
Externí odkaz:
https://doaj.org/article/43d2f29f7834485c93e610a577b76f19
Autor:
Maha A. Thafar, Somayah Albaradei, Mahmut Uludag, Mona Alshahrani, Takashi Gojobori, Magbubah Essack, Xin Gao
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Late-stage drug development failures are usually a consequence of ineffective targets. Thus, proper target identification is needed, which may be possible using computational approaches. The reason being, effective targets have disease-relevant biolo
Externí odkaz:
https://doaj.org/article/81e66553cd9d47069433351087928c6e
Autor:
Maha A. Thafar, Mona Alshahrani, Somayah Albaradei, Takashi Gojobori, Magbubah Essack, Xin Gao
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract Drug-target interaction (DTI) prediction plays a crucial role in drug repositioning and virtual drug screening. Most DTI prediction methods cast the problem as a binary classification task to predict if interactions exist or as a regression
Externí odkaz:
https://doaj.org/article/868a4e9fdde94959a88eae7de16d086b
Autor:
Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-18 (2021)
Abstract Drug–target interaction (DTI) prediction is a crucial step in drug discovery and repositioning as it reduces experimental validation costs if done right. Thus, developing in-silico methods to predict potential DTI has become a competitive
Externí odkaz:
https://doaj.org/article/df451b2b7c4e484fab56585276a745fd
Autor:
Somayah Albaradei, Abdurhman Albaradei, Asim Alsaedi, Mahmut Uludag, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
Deep learning has massive potential in predicting phenotype from different omics profiles. However, deep neural networks are viewed as black boxes, providing predictions without explanation. Therefore, the requirements for these models to become inte
Externí odkaz:
https://doaj.org/article/9578055d5963438cb6c08d6f028a43aa
Autor:
Rahu Sikander, Muhammad Arif, Ali Ghulam, Apilak Worachartcheewan, Maha A. Thafar, Shabana Habib
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
The major mechanism of proteolysis in the cytosol and nucleus is the ubiquitin–proteasome pathway (UPP). The highly controlled UPP has an effect on a wide range of cellular processes and substrates, and flaws in the system can lead to the pathogene
Externí odkaz:
https://doaj.org/article/bb9f5007a8bc45ada520a1b546bd0aeb
Autor:
Somayah Albaradei, Francesco Napolitano, Maha A. Thafar, Takashi Gojobori, Magbubah Essack, Xin Gao
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 4404-4411 (2021)
Predicting metastasis in the early stages means that clinicians have more time to adjust a treatment regimen to target the primary and metastasized cancer. In this regard, several computational approaches are being developed to identify metastasis ea
Externí odkaz:
https://doaj.org/article/153655ccf86b49e78d574edb39937a5a
Autor:
Mona Alshahrani, Abdullah Almansour, Asma Alkhaldi, Maha A. Thafar, Mahmut Uludag, Magbubah Essack, Robert Hoehndorf
Publikováno v:
PeerJ, Vol 10, p e13061 (2022)
Biomedical knowledge is represented in structured databases and published in biomedical literature, and different computational approaches have been developed to exploit each type of information in predictive models. However, the information in struc
Externí odkaz:
https://doaj.org/article/4552b99578e143f9b24beb0fe2025747