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Title: Insight into Molecular Basis and Dynamics of Full-length CRaf Kinase in Cellular Signaling Mechanism

Abstract

This study presents the first large-scale simulation using an initial structure predicted by AI/ML algorithms for the 648-amino-acid CRaf kinase, which plays a key role in cellular signaling. Simulation results show the evolution of the predicted structure into much more compact structures with inter-domain interactions that shed insights into auto-inhibition mechanism, paradoxical effect, activation, and recruitment pathways in the CRaf kinase. Newly identified epitopes in the CRaf may suggest additional drug targets. The results were published in Biophysical Journal, DOI:10.1016/j.bpj.2024.06.028.

Authors:

  1. ORNL-OLCF
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Office of Science (SC); Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Subject:
59 BASIC BIOLOGICAL SCIENCES; Biophysics, Cellular Signaling, Molecular Dynamics Simulations, Signalosome
OSTI Identifier:
2396898
DOI:
https://doi.org/10.13139/OLCF/2396898

Citation Formats

Ngo, Van A. Insight into Molecular Basis and Dynamics of Full-length CRaf Kinase in Cellular Signaling Mechanism. United States: N. p., 2024. Web. doi:10.13139/OLCF/2396898.
Ngo, Van A. Insight into Molecular Basis and Dynamics of Full-length CRaf Kinase in Cellular Signaling Mechanism. United States. doi:https://doi.org/10.13139/OLCF/2396898
Ngo, Van A. 2024. "Insight into Molecular Basis and Dynamics of Full-length CRaf Kinase in Cellular Signaling Mechanism". United States. doi:https://doi.org/10.13139/OLCF/2396898. https://www.osti.gov/servlets/purl/2396898. Pub date:Fri Jul 26 04:00:00 UTC 2024
@article{osti_2396898,
title = {Insight into Molecular Basis and Dynamics of Full-length CRaf Kinase in Cellular Signaling Mechanism},
author = {Ngo, Van A.},
abstractNote = {This study presents the first large-scale simulation using an initial structure predicted by AI/ML algorithms for the 648-amino-acid CRaf kinase, which plays a key role in cellular signaling. Simulation results show the evolution of the predicted structure into much more compact structures with inter-domain interactions that shed insights into auto-inhibition mechanism, paradoxical effect, activation, and recruitment pathways in the CRaf kinase. Newly identified epitopes in the CRaf may suggest additional drug targets. The results were published in Biophysical Journal, DOI:10.1016/j.bpj.2024.06.028.},
doi = {10.13139/OLCF/2396898},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jul 26 04:00:00 UTC 2024},
month = {Fri Jul 26 04:00:00 UTC 2024}
}