The p38 mitogen-activated protein kinase is activatedby environmental stress and cytokines andplays a role in transcriptional regulation andinflammatory responses. Factors influencing theactivity and selectivity of the p38a mitogen-activatedprotein kinase inhibitors have been investigatedin this paper by inspecting the bindingorientation and the possible residue-inhibitorinteractions in the binding site. The binding patternof a set of 45 different inhibitors against p38amitogen-activated protein kinase was studiedthrough Molecular Dynamic Simulations of theprotein-inhibitor complexes. Further, Partial LeastSquares regression was used to develop a QuantitativeStructure Activity Relationship model topredict the binding affinities of ligands. Theselected model successfully predicted the test setwith a Root Mean Square Error of Prediction of1.36. The regression coefficients and the VariableImportance in Projection plots highlighted the residue-inhibitor interactions which exhibited thelargest absolute effect on the ligand binding, suchas the van der Waals interaction with LYS50,ILE81, ASP165; electrostatic interactions withSER29, LEU164; hydrogen bonds with MET106;and total energy interaction with SER29 andLEU83.

Modeling the Binding Affinity of p38a MAPKinase Inhibitors by Partial Least SquaresRegression / Basant, Nikita; Durante, Caterina; Cocchi, Marina; Menziani, Maria Cristina. - In: CHEMICAL BIOLOGY & DRUG DESIGN. - ISSN 1747-0285. - STAMPA. - 80:3(2012), pp. 455-470. [10.1111/j.1747-0285.2012.01419.x]

Modeling the Binding Affinity of p38a MAPKinase Inhibitors by Partial Least SquaresRegression

BASANT, NIKITA;DURANTE, Caterina;COCCHI, Marina;MENZIANI, Maria Cristina
2012

Abstract

The p38 mitogen-activated protein kinase is activatedby environmental stress and cytokines andplays a role in transcriptional regulation andinflammatory responses. Factors influencing theactivity and selectivity of the p38a mitogen-activatedprotein kinase inhibitors have been investigatedin this paper by inspecting the bindingorientation and the possible residue-inhibitorinteractions in the binding site. The binding patternof a set of 45 different inhibitors against p38amitogen-activated protein kinase was studiedthrough Molecular Dynamic Simulations of theprotein-inhibitor complexes. Further, Partial LeastSquares regression was used to develop a QuantitativeStructure Activity Relationship model topredict the binding affinities of ligands. Theselected model successfully predicted the test setwith a Root Mean Square Error of Prediction of1.36. The regression coefficients and the VariableImportance in Projection plots highlighted the residue-inhibitor interactions which exhibited thelargest absolute effect on the ligand binding, suchas the van der Waals interaction with LYS50,ILE81, ASP165; electrostatic interactions withSER29, LEU164; hydrogen bonds with MET106;and total energy interaction with SER29 andLEU83.
2012
80
3
455
470
Modeling the Binding Affinity of p38a MAPKinase Inhibitors by Partial Least SquaresRegression / Basant, Nikita; Durante, Caterina; Cocchi, Marina; Menziani, Maria Cristina. - In: CHEMICAL BIOLOGY & DRUG DESIGN. - ISSN 1747-0285. - STAMPA. - 80:3(2012), pp. 455-470. [10.1111/j.1747-0285.2012.01419.x]
Basant, Nikita; Durante, Caterina; Cocchi, Marina; Menziani, Maria Cristina
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/770691
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