Computational Insights for the Discovery of Non-ATP Competitive Inhibitors of MAP Kinases

Title: Computational Insights for the Discovery of Non-ATP Competitive Inhibitors of MAP Kinases

Volume: 18 Issue: 9

Author(s): Michael J. Schnieders, Tamer S. Kaoud, Chunli Yan, Kevin N. Dalby and Pengyu Ren

Affiliation:

Keywords: Kinases, MAP, modeling, dynamics, non-ATP, inhibitor

Abstract: Due to their role in cellular signaling mitogen activated protein (MAP) kinases represent targets of pharmaceutical interest. However, the majority of known MAP kinase inhibitors compete with cellular ATP and target an ATP binding pocket that is highly conserved in the 500 plus representatives of the human protein kinase family. Here we review progress toward the development of non-ATP competitive MAP kinase inhibitors for the extracellular signal regulated kinases (ERK1/2), the c-jun N-terminal kinases (JNK1/2/3) and the p38 MAPKs (α, β, γ, and δ). Special emphasis is placed on the role of computational methods in the drug discovery process for MAP kinases. Topics include recent advances in X-ray crystallography theory that improve the MAP kinase structures essential to structurebased drug discovery, the use of molecular dynamics to understand the conformational heterogeneity of the activation loop and inhibitors discovered by virtual screening. The impact of an advanced polarizable force field such as AMOEBA used in conjunction with sophisticated kinetic and thermodynamic simulation methods is also discussed.

Cite this article as:

J. Schnieders Michael, S. Kaoud Tamer, Yan Chunli, N. Dalby Kevin and Ren Pengyu, Computational Insights for the Discovery of Non-ATP Competitive Inhibitors of MAP Kinases, Current Pharmaceutical Design 2012; 18 (9) . https://dx.doi.org/10.2174/138161212799436368