Journal of Molecular BiologyBioinformaticsPeer-reviewed journal article
Dynamic Coupling and Entropy Changes in KRAS G12D Mutation: Insights into Molecular Flexibility, Allostery and Function
Abstract
The oncogenic G12D mutation in KRAS is a major driver of cancer progression, yet the complete mechanism by which this mutation alters protein dynamics and function remains incompletely understood. Here, we investigate how the G12D mutation alters KRASs conformational landscape and residue-residue interactions using molecular dynamics simulations coupled with entropy calculations and mutual information (MI) analysis. We demonstrate that the mutation increases local entropy at key functional residues (D12, Y32, G60, and Q61), and introduces new peaks to the Ramachandran angles, disrupting the precise structural alignment necessary for GTP hydrolysis. Notably, while individual residue entropy increases, joint entropy analysis shows a complex reorganization pattern. MI analysis identifies enhanced dynamic coupling between distant residues, suggesting that the mutation establishes new long-range interactions that stabilize the active state. These findings show how G12D mutation redefines KRASs dynamic network, leading to persistent activation through enhanced residue coupling rather than mere local disruption. Our results suggest novel therapeutic strategies focused on modulating protein dynamics rather than targeting specific binding sites, potentially offering new approaches to combat KRAS-driven cancers. HighlightsO_LIThe G12D mutation increases entropy and mutual information between residue pairs, resulting in more correlated motions due to enhanced flexibility. C_LIO_LICharacteristic features of local and long-range allostery in wild-type (WT) and G12D KRAS are determined using structural proximity and mutual information analysis. C_LIO_LIThe dynamics of KRAS interactions with its natural ligand atoms and the coordination of bridging water molecules provide insights into the changes induced by the G12D mutation. C_LI
- organism: human
- assay: protein structure
- research focus: protein structure prediction
- approach: statistical model
- Citations
- 5
- FWCI
- 1.49
- Field percentile
- top 20%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Oncogenic G12D mutation alters local conformations and dynamics of K-Ras
S. Vatansever, B. Erman, Z. Gumus·bioRxiv·Nov 12, 2018
- Comparative effects of oncogenic mutations G12C, G12V, G13D, and Q61H on local conformations and dynamics of K-Ras
S. Vatansever, B. Erman, Z. H. Gumus·bioRxiv·Mar 26, 2020
- Accurate Characterization of the Allosteric Energy Landscapes, Binding Hotspots and Long-Range Communications for KRAS Complexes with Effector Proteins : Integrative Approach Using Microsecond Molecular Dynamics, Deep Mutational Scanning of Binding Energetics and Allosteric Network Modeling
Sian Xiao, Mohammed Alshahrani, … Gennady M. Verkhivker·bioRxiv·Jan 27, 2025
- Discovering and targeting dynamic drugging pocketsof the oncogene KRAS-G12D
- Spanning-Tree Thermostatistics of Protein Allostery: An Exact Kirchhoff Framework with Application to Oncogenic KRAS
Fatma Senguler Ciftci, Burak Erman·Physical BiologyPeer-reviewed·Aug 25, 2026
- Path sampling simulations reveal how the Q61L mutation restricts the dynamics of KRas