1. Academic Validation
  2. Identification of protein kinase CK2 inhibitors using solvent dipole ordering virtual screening

Identification of protein kinase CK2 inhibitors using solvent dipole ordering virtual screening

  • Eur J Med Chem. 2015;96:396-404. doi: 10.1016/j.ejmech.2015.04.032.
Isao Nakanishi 1 Katsumi Murata 2 Naoya Nagata 2 Masakuni Kurono 2 Takayoshi Kinoshita 3 Misato Yasue 2 Takako Miyazaki 2 Yoshinori Takei 2 Shinya Nakamura 4 Atsushi Sakurai 4 Nobuko Iwamoto 4 Keiji Nishiwaki 4 Tetsuko Nakaniwa 3 Yusuke Sekiguchi 3 Akira Hirasawa 2 Gozoh Tsujimoto 2 Kazuo Kitaura 2
Affiliations

Affiliations

  • 1 Graduate School of Pharmaceutical Sciences, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan; Faculty of Pharmacy, Department of Pharmaceutical Sciences, Kinki University, 3-4-1 Kowakae, Higashi-Osaka, Osaka 577-8502, Japan. Electronic address: [email protected].
  • 2 Graduate School of Pharmaceutical Sciences, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan.
  • 3 Graduate School of Science, Osaka Prefecture University, 1-1 Gakuen-cho, Naka-ku, Sakai, Osaka 599-8531, Japan.
  • 4 Faculty of Pharmacy, Department of Pharmaceutical Sciences, Kinki University, 3-4-1 Kowakae, Higashi-Osaka, Osaka 577-8502, Japan.
Abstract

Novel protein kinase CK2 inhibitors were identified using the solvent dipole ordering virtual screening method. A total of 26 compounds categorized in 15 distinct scaffold classes inhibited greater than 50% of Enzyme activity at 50 μM, and eight exhibited IC50 values less than 10 μM. Most of the identified compounds are lead-like and dissimilar to known inhibitors. The crystal structures of two of the CK2 complexes revealed the high accuracy of the predicted binding modes.

Keywords

In silico screening; Kinase inhibitor; Molecular similarity; Protein kinase CK2; Solvent dipole ordering.

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