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Updated: Jun 27, 2026

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays
13:22

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays

Published on: October 23, 2019

Elucidation of binding mode and three dimensional quantitative structure-activity relationship studies of a novel

M Muddassar1, F A Pasha, M M Neaz

  • 1Future Fusion Technology Division, Computational Science Center, Korea Institute of Science and Technology, P.O. Box 131, Cheongryang, Seoul 130-650, South Korea. mmuddassar@kist.kr

Journal of Molecular Modeling
|December 2, 2008
PubMed

Insights

This study investigated 69 protein kinase B (PKB/Akt) inhibitors using 3D-QSAR and molecular docking. The findings provide structural insights for designing more effective and selective PKB/Akt inhibitors to combat cancer.

Area of Science:

  • Biochemistry
  • Medicinal Chemistry
  • Structural Biology

Background:

  • Protein kinase B (PKB), also known as Akt kinase, is a key component of the PI-3 kinase pathway.
  • Aberrant PKB/Akt activity is implicated in the development of various human carcinomas, including prostate, breast, and ovarian cancers.

Purpose of the Study:

  • To explore the binding modes of 69 PKB/Akt inhibitors.
  • To gain structural insights into these inhibitors using 3D-QSAR.
  • To guide the design of novel, potent, and selective PKB/Akt inhibitors.

Main Methods:

  • Molecular docking using FlexX to analyze binding modes.
  • Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies employing comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA).

Main Results:

  • CoMFA yielded significant results with q(2) = 0.53 and r(2) = 0.95.
  • CoMSIA, utilizing steric, hydrophobic, and hydrogen bond acceptor fields, achieved q(2) = 0.51 and r(2) = 0.84.
  • Molecular docking revealed consistent binding modes within the Akt kinase ATP binding site, similar to co-crystallized ligands.
  • Predictive power for CoMFA and CoMSIA was confirmed with test sets, yielding r(2) values of 0.58 and 0.62, respectively.

Conclusions:

  • The 3D-QSAR models (CoMFA and CoMSIA) provide valuable structural insights into PKB/Akt inhibitor binding.
  • The generated 3D contour maps can inform the rational design of improved Akt kinase inhibitors.
  • This research contributes to the development of targeted cancer therapies by elucidating structure-activity relationships.

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