Results 1 to 10 of about 33,351,014 (255)
Identification of novel HIF2α inhibitors: a structure‐based virtual screening approach [PDF]
HIF2α is aberrantly upregulated in some renal cell carcinomas due to VHL mutations, supporting HIF2α inhibition as a compelling therapeutic approach for such cases.
Shasha Zhou +4 more
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Structure-Based Virtual Screening of New Skp1 Inhibitor Chemotypes Targeting F-Box Binding Interface [PDF]
Muzammal Hussain,1– 3 Yongzhi Lu,1,4 Gui-Zhen Wang,5 Muqddas Tariq,1,2 Jiancun Zhang,1,2 Guang-Biao Zhou,5 Jinsong Liu1,2,6 1Center for Chemical Biology and Drug Discovery, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences ...
Hussain M +6 more
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Structure-Based Virtual Screening for KHK-A Inhibitors with Anti-Hepatocellular Carcinoma Activity [PDF]
Background: Hepatocellular carcinoma (HCC) is the sixth most common malignant tumor worldwide and is associated with a poor prognosis. Oxidative stress is a key factor in the occurrence and progression of HCC. KHK-A, a key protein in the oxidative stress
Jiang-Yi Zhu +6 more
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Discovery of a brain penetrant SGK1 inhibitor using a ligand- and structure-based virtual screening methodology [PDF]
Serum and glucocorticoid-regulated kinase 1 (SGK1) is an underexplored kinase involved in several neurodegenerative diseases. Although SGK1 inhibitors are not available on the market, the absence of side effects in two SGK1 knockout mouse models supports
Enrique Madruga +5 more
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PL-PatchSurfer3: improved structure-based virtual screening for structure variation using 3D Zernike descriptors [PDF]
Structure-based virtual screening (SBVS) is a widely used approach in in silico drug discovery, requiring a receptor structure or binding site to predict a ligand's binding pose and affinity. Consequently, the performance of SBVS depends on the protein’s
Woong-Hee Shin +3 more
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Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors [PDF]
Poly ADP-ribose polymerase 1 (PARP1) is an attractive therapeutic target for cancer treatment. Machine-learning scoring functions constitute a promising approach to discovering novel PARP1 inhibitors.
Klaudia Caba +3 more
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The rapid spread of the coronavirus disease 2019 (COVID-19) resulted in serious health, social, and economic consequences. While the development of effective vaccines substantially reduced the severity of symptoms and the associated deaths, we still ...
Dony Ang +2 more
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Many recently proposed structure-based virtual screening models appear to be able to accurately distinguish high affinity binders from non-binders. However, several recent studies have shown that they often do so by exploiting ligand-specific biases in ...
Thomas E. Hadfield +2 more
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Allosteric modulators have emerged with many potential pharmacological advantages as they do not compete the binding of agonist or antagonist to the orthosteric sites but ultimately affect downstream signaling. To identify allosteric modulators targeting
Qingtong Zhou +9 more
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GeauxDock: Accelerating Structure-Based Virtual Screening with Heterogeneous Computing. [PDF]
Computational modeling of drug binding to proteins is an integral component of direct drug design. Particularly, structure-based virtual screening is often used to perform large-scale modeling of putative associations between small organic molecules and ...
Ye Fang +7 more
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