4.7 Article

The mechanism of activation of monomeric B-Raf V600E

Journal

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
Volume 19, Issue -, Pages 3349-3363

Publisher

ELSEVIER
DOI: 10.1016/j.csbj.2021.06.007

Keywords

B-Raf; Oncogene; Kinase; Protein structure; Activation mechanism

Funding

  1. National Cancer Institute, National Institutes of Health [HHSN26120080001E]
  2. Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research

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Oncogenic mutations in B-Raf, especially the V600E mutation, are common in cancer and are a major drug target. This study found that the V600E mutation destabilizes the inactive state while stabilizing the active state, providing insights for the development of new Raf inhibitors.
Oncogenic mutations in the serine/threonine kinase B-Raf, particularly the V600E mutation, are frequent in cancer, making it a major drug target. Although much is known about B-Raf's active and inactive states, questions remain about the mechanism by which the protein changes between these two states. Here, we utilize molecular dynamics to investigate both wild-type and V600E B-Raf to gain mechanistic insights into the impact of the Val to Glu mutation. The results show that the wild-type and mutant follow similar activation pathways involving an extension of the activation loop and an inward motion of the alpha C-helix. The V600E mutation, however, destabilizes the inactive state by disrupting hydrophobic interactions present in the wild-type structure while the active state is stabilized through the formation of a salt bridge between Glu600 and Lys507. Additionally, when the activation loop is extended, the aC-helix is able to move between an inward and outward orientation as long as the DFG motif adopts a specific orientation. In that orientation Phe595 rotates away from the aC-helix, allowing the formation of a salt bridge between Lys483 and Glu501. These mechanistic insights have implications for the development of new Raf inhibitors. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.

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