Abstract
Hydroxamic acids have been found to react with both proteins and nucleic acids attracting increasing attention for their potential as highly efficacious in combating various biological targets, free radicals, and biological disorders among them cancer and inflammation. The reactivity of hydroxamic acids toward sulfhydryl groups and metal ions of proteins has been suggested to be the reason for their inhibitory effect on various enzymes. The ability of the hydroxamic acid functionality to form chelates with metals in the enzyme’s active site is considered to be an important functional feature for a metalloenzyme inhibition. Many approaches in developing hydroxamic drugs, such as trichostatin and vorinostat, that interfere with (metallo) enzymes and act as anticancer drugs have been pursued over the past few decades. We present here a brief review of the QSAR and molecular modeling studies performed on hydroxamic acid derivatives acting as histone deacetylase inhibitors that have been studied as anticancer agents. These studies have shown that the anticancer activity of these compounds is basically controlled by their hydrophobic and steric properties.
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Abbreviations
- ACxDN:
-
Index of cohesive interactions in solids
- B1 :
-
Sterimol parameter of Verloop for the smallest width of substituent
- BMLR:
-
Best multilinear regression method
- Clog P :
-
Overall calculated lipophilicity
- CMR:
-
Molar refractivity of the whole molecule
- CoMFA:
-
Comparative molecular field analysis
- CoMSIA:
-
Comparative molecular similarity indices analysis
- DPL:
-
Dipole
- ES-SWR:
-
Elimination selection-stepwise regression method
- FISA:
-
Hydrophilic component of the solvent-accessible surface area
- GFA:
-
Genetic function approximation
- Glob:
-
Globularity of the compounds
- HAT:
-
Histone acetyl-transferase
- HDAC:
-
Histone deacetylase
- HOMO:
-
Highest occupied molecular orbital
- L:
-
Verloop parameter for the length of the first atom of the substituent
- LFER:
-
Linear free energy related
- LSSVM:
-
Least squares support vector machine
- MgVol:
-
MacGovan volume
- MLR:
-
Multiple linear regression
- MMPs:
-
Matrix metalloproteinases
- MR–R :
-
Molar refractivity of the substituent
- MSA:
-
Molecular shape analysis
- MW:
-
Molecular weight
- PCA:
-
Principal component analysis
- PLS:
-
Partial least squares
- PMIX:
-
Principal moment of inertia along X-axis
- QSAR:
-
Quantitative structure-activity relationships
- QTMS:
-
Quantum topological molecular similarity
- r:
-
Radius
- SAR:
-
Structure-activity relationships
- SASA:
-
Solvent-accessible surface area
- ShpC:
-
Shape coefficient
- TopoJ:
-
Balaban topological index
- TSAR:
-
Tool for structure-activity relationships
- WLS:
-
Weighted least square
- WPSA:
-
Weak polar component of the solvent-accessible surface area
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Hadjipavlou-Litina, D., Pontiki, E. (2013). Quantitative Structure–Activity Relationship Studies on Hydroxamic Acids Acting as Histone Deacetylase Inhibitors. In: Gupta, S. (eds) Hydroxamic Acids. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38111-9_8
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