Discovery of potent IRAK-4 inhibitors as potential anti-inflammatory and anticancer agents using structure-based exploration of IRAK-4 pharmacophoric space coupled with QSAR analyses. (April 2019)
- Record Type:
- Journal Article
- Title:
- Discovery of potent IRAK-4 inhibitors as potential anti-inflammatory and anticancer agents using structure-based exploration of IRAK-4 pharmacophoric space coupled with QSAR analyses. (April 2019)
- Main Title:
- Discovery of potent IRAK-4 inhibitors as potential anti-inflammatory and anticancer agents using structure-based exploration of IRAK-4 pharmacophoric space coupled with QSAR analyses
- Authors:
- Khanfar, Mohammad A.
Alqtaishat, Saja - Abstract:
- Graphical abstract: Highlights: IRAK-4 is a validated target for inflammation and oncology. Structure-based pharmacophore modelling combined with QSAR analysis was applied. Self-consistent and predictive QSAR model was identified. Several novel IRAK-4 inhibitors were discovered. Abstract: Interleukin-1 Receptor-Associated Kinase 4 (IRAK-4) has an important role in immunity, inflammation, and malignancy. The significant role of IRAK-4 makes it an interesting target for the discovery and development of potent small molecule inhibitors. In the current study, multiple linear regression -based QSAR analyses coupled with structure-based pharmacophoric exploration was applied to reveal the structural and physiochemical properties required for IRAK-4 inhibition. Manually built pharmacophoric models were initially validated with receiver operating characteristic curve, and best-ranked models were subsequently integrated in QSAR analysis along with other physiochemical descriptors. The pharmacophore model, selected using the statistically optimum QSAR equation, was implied as a 3D-search filter to mine the National Cancer Institute database for novel IRAK-4 inhibitors. Whereas the associated QSAR model prioritized the bioactivities of captured hits for in vitro evaluation. Experimental validation identified several potent IRAK-4 inhibitors of novel structural scaffolds. The most potent captured hit exhibited an IC50 value of 157 nM.
- Is Part Of:
- Computational biology and chemistry. Volume 79(2019)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 79(2019)
- Issue Display:
- Volume 79, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 79
- Issue:
- 2019
- Issue Sort Value:
- 2019-0079-2019-0000
- Page Start:
- 147
- Page End:
- 154
- Publication Date:
- 2019-04
- Subjects:
- IRAK-4 -- Pharmacophore -- QSAR -- Virtual screening
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2019.02.005 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
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- 9637.xml