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pMD-Membrane: A Method for Ligand Binding Site Identification in Membrane-Bound Proteins.
Priyanka Prakash1, Abdallah Sayyed-Ahmad1, Alemayehu A Gorfe1
1University of Texas Health Science Center at Houston, Department of Integrative Biology and Pharmacology, Houston, Texas, United States of America.
Plos Computational Biology
|October 28, 2015
Summary
We developed pMD-membrane, a new simulation technique to study druggable sites on membrane-bound proteins. This method overcomes limitations of previous approaches, enabling the identification of allosteric ligand binding sites on K-Ras mutants.
Area of Science:
- Computational chemistry
- Biophysics
- Structural biology
Background:
- Probe-based molecular dynamics simulations are valuable for identifying drug targets.
- Current methods are limited to soluble proteins due to probe-induced membrane disruption.
- Targeting membrane proteins, like K-Ras mutants, remains a challenge.
Purpose of the Study:
- To develop a novel simulation technique for studying druggable sites on membrane-bound proteins.
- To identify allosteric ligand binding sites on oncogenic K-Ras mutants (G12D and G13D).
- To quantify changes in druggable site accessibility due to membrane binding and mutations.
Main Methods:
- Modification of force field parameters to minimize probe-lipid interactions.
- Development of the pMD-membrane technique for molecular dynamics simulations.
- Application of pMD-membrane to K-Ras mutants (G12D, G13D) on a charged lipid bilayer.
Main Results:
- Successfully applied pMD-membrane to identify allosteric ligand binding sites on K-Ras mutants.
- Demonstrated that probe occupancy differences can quantify druggable site accessibility.
- Revealed conformational changes affecting site accessibility upon membrane binding and mutation.
Conclusions:
- pMD-membrane effectively overcomes limitations of probe-based simulations for membrane proteins.
- The technique enables characterization of druggable sites on membrane-bound oncogenic proteins.
- Provides a quantitative method to assess the impact of membrane interactions and mutations on drug target accessibility.
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