Inhibition of Nonfunctional Ras

Ruth Nussinov1, Hyunbum Jang2, Attila Gursoy3

  • 1Computational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Laboratory of Cancer Immunometabolism, National Cancer Institute, Frederick, MD 21702, USA; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.

Cell Chemical Biology
|January 13, 2021
PubMed

Insights

Targeting protein activation mechanisms, not just active or inactive states, is key for drug development. This approach is vital for developing effective K-Ras4B G12C and kinase inhibitors.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Oncogenic mutations in kinases and Ras proteins drive cancer through distinct mechanisms.
  • Kinase mutations typically stabilize the active conformation, leading to constitutive signaling.
  • Ras mutations, like K-Ras4B G12C, often impair GTP hydrolysis and nucleotide exchange, hindering inactivation.

Purpose of the Study:

  • To elucidate the distinct oncogenic mechanisms of kinases and Ras proteins.
  • To explain why targeting inactive K-Ras4B G12C is feasible while targeting inactive kinases may not be.
  • To propose a unified principle for drug development based on blocking activation pathways.

Main Methods:

  • Comparative analysis of oncogenic mechanisms in kinases and Ras proteins.
  • Review of existing drug development strategies for kinases and Ras.
  • Postulation of a novel drug targeting paradigm.

Main Results:

  • Kinase oncogenic mechanisms involve stabilization of the active state.
  • Ras oncogenic mechanisms involve inhibition of deactivation pathways.
  • Covalent inhibitors targeting the inactive GDP-bound K-Ras4B G12C conformation are viable.
  • Allosteric kinase inhibitors function by promoting active conformations.

Conclusions:

  • Drug development should focus on blocking protein activation mechanisms rather than solely targeting active or inactive states.
  • This mechanistic understanding is crucial for advancing pharmaceutical development and drug classification.
  • The proposed paradigm offers a translational advantage for developing targeted cancer therapies.

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