Zobrazeno 1 - 10
of 534
pro vyhledávání: '"Cancer drug discovery"'
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Externí odkaz:
https://doaj.org/article/c9c0cdbf9493443cb4c9014662a3a33b
Publikováno v:
SLAS Discovery, Vol 27, Iss 2, Pp 107-113 (2022)
KRAS, the most frequently mutated oncogene in human cancers, was considered “undruggable” until the identification of small molecules that bind irreversibly to the mutant reactive cysteine at residue 12. Despite the encouraging anticancer activit
Externí odkaz:
https://doaj.org/article/55f6d9221cc340e28adac8eace267cf5
Autor:
Opeyemi Iwaloye, Paul Olamide Ottu, Femi Olawale, Olorunfemi Oyewole Babalola, Olusola Olalekan Elekofehinti, Babatomiwa Kikiowo, Abayomi Emmanuel Adegboyega, Henry Nnaemeka Ogbonna, Covenant Femi Adeboboye, Ibukun Mary Folorunso, Aderonke Elizabeth Fakayode, Moses Orimoloye Akinjiyan, Sunday Amos Onikanni, Sergey Shityakov
Publikováno v:
Informatics in Medicine Unlocked, Vol 41, Iss , Pp 101332- (2023)
The escalating prevalence of cancer on a global scale, coupled with the inadequacies of present-day therapies and the emergence of drug-resistant cancer strains, has necessitated the development of additional anticancer drugs. The traditional drug di
Externí odkaz:
https://doaj.org/article/6cb83284931b4498a720fa901f2146ec
Autor:
Dhruba Jyoti Boruah, Devarajan Kathirvelan, Kaushik Bora, Ram Awatar Maurya, Panneerselvam Yuvaraj
Publikováno v:
Results in Chemistry, Vol 5, Iss , Pp 100903- (2023)
A catalyst-free one-pot synthetic approach for the synthesis of substituted 1,2,3-triazole has been described. The reaction proceeds via the simple click chemistry as well as the formation of two new C-N bonds. A wide variety of substituted 1,2,3-tri
Externí odkaz:
https://doaj.org/article/87a1a1c1c34040e8b3d8d630230eeba8
Akademický článek
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Publikováno v:
Life and Science, Vol 3, Iss 4, Pp 12-12 (2022)
Objective: To identify potential flavonoids of Artemisia annua effective against cancer using computational approaches. Study Design: Computational approaches were used to predict the anticancer activity of flavonoids through CDRUG, comparing it with
Externí odkaz:
https://doaj.org/article/249f3cb46bac4c488857f822ee81f605
Autor:
Carolina Escardó Pereyra, Rafael Ferreira Dantas, Sabrina Baptista Ferreira, Luciano Pinho Gomes, Floriano Paes Silva-Jr
Publikováno v:
Cancer Cell International, Vol 19, Iss 1, Pp 1-20 (2019)
Abstract Cancer is one of the leading causes of death around the world and although the different clinical approaches have helped to increase survival rates, incidence is still high and so its mortality. Chemotherapy is the only approach which is sys
Externí odkaz:
https://doaj.org/article/fb65b31b4db344d8ab9dac190efdc7e4
Akademický článek
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Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Aqueous solubility is an important physicochemical property of compounds in anti-cancer drug discovery. Artificial intelligence solubility prediction tools have scored impressive performances by employing regression, machine learning, and deep learni
Externí odkaz:
https://doaj.org/article/f74e5d4c051c4cfdbb8375c412a41a47
Akademický článek
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