Population reversal driven by unrestrained interactions in molecular dynamics simulations: A dialanine model
Source abstract
Abstract
Standard Molecular Dynamics simulations (MD) are usually performed under periodic boundary conditions using the well-established “Ewald summation”. This implies that the distance among each element in a given lattice cell and its corresponding element in another cell, as well as their relative orientations, are constant. Consequently, protein-protein interactions between proteins in different cells—important in many biological activities, such as protein cooperativity and physiological/pathological aggregation—are severely restricted, and features driven by protein-protein interactions are lost. The consequences of these restrictions, although conceptually understood and mentioned in the literature, have not been quantitatively studied before. The effect of protein-protein interactions on the free energy landscape of a model system, dialanine, is presented. This simple system features a free energy diagram with well-separated minima. It is found that, in the case of absence of peptide-peptide (p-p) interactions, the ψ = 150° dihedral angle determines the most energetically favored conformation (global free-energy minimum). When strong p-p interactions are induced, the global minimum switches to the ψ = 0° conformation. This shows that the free-energy landscape of an individual molecule is dramatically affected by the presence of other freely interacting molecules of its same type. Results of the study suggest how taking into account p-p interactions in MD allows having a more realistic picture of system activity and functional conformations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Protein Structure and Dynamics · Spectroscopy and Quantum Chemical Studies · DNA and Nucleic Acid Chemistry
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
University of Pittsburgh 1 Department of Computational and Systems Biology, School of Medicine, , Pennsylvania, USA, 15260
Fondazione RiMED 2 , Palermo, Italy
Universidad Nacional de San Martin 3 School of Science and Technology, , San Martin, Buenos Aires, Argentina, 1650
Funding
Fondazione RiMED
References (18)
Show source-provided references
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