Abstract
Proteins in the living cell can interact with a wide variety of solutes, ranging from ions, peptides, other proteins, DNA to membranes. Charged groups play a major role and solution conditions such as pH and ionic strength can modulate the interactions significantly. Describing these systems in a statistical mechanical framework involves thousands of pair-interactions and therefore a certain amount of coarse graining is often required. We here present a conceptually simple “mesoscopic” protein model where the detailed charge distribution and surface topology is well preserved. Monte Carlo simulations based on this model can be used to accurately reproduce second virial coeffients, pH titration curves and binding constants of proteins.
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Lund, M. (2007). Coarse Graining Biomolecular Systems. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_9
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DOI: https://doi.org/10.1007/978-3-540-75755-9_9
Publisher Name: Springer, Berlin, Heidelberg
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