1. Unbiased MD simulations identify lipid binding sites in lipid transfer proteins.
- Author
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Srinivasan S, Álvarez D, John Peter AT, and Vanni S
- Subjects
- Binding Sites, Saccharomyces cerevisiae Proteins metabolism, Saccharomyces cerevisiae Proteins genetics, Saccharomyces cerevisiae Proteins chemistry, Lipids chemistry, Autophagy-Related Proteins metabolism, Autophagy-Related Proteins genetics, Autophagy-Related Proteins chemistry, Vesicular Transport Proteins metabolism, Vesicular Transport Proteins genetics, Vesicular Transport Proteins chemistry, Molecular Dynamics Simulation, Carrier Proteins metabolism, Carrier Proteins chemistry, Carrier Proteins genetics, Protein Binding
- Abstract
The characterization of lipid binding to lipid transfer proteins (LTPs) is fundamental to understand their molecular mechanism. However, several structures of LTPs, and notably those proposed to act as bridges between membranes, do not provide the precise location of their endogenous lipid ligands. To address this limitation, computational approaches are a powerful alternative methodology, but they are often limited by the high flexibility of lipid substrates. Here, we develop a protocol based on unbiased coarse-grain molecular dynamics simulations in which lipids placed away from the protein can spontaneously bind to LTPs. This approach accurately determines binding pockets in LTPs and provides a working hypothesis for the lipid entry pathway. We apply this approach to characterize lipid binding to bridge LTPs of the Vps13-Atg2 family, for which the lipid localization inside the protein is currently unknown. Overall, our work paves the way to determine binding pockets and entry pathways for several LTPs in an inexpensive, fast, and accurate manner., (© 2024 Srinivasan et al.)
- Published
- 2024
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