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pmid: 32528791
pmc: PMC7280738
AbstractUsing a new semi‐empirical method for calculating molecular polarizabilities and the Clausius−Mossotti relation, we calculated the static dielectric constants of dry proteins for all structures in the protein data bank (PDB). The mean dielectric constant of more than 150,000 proteins is with a standard deviation of 0.04, which agrees well with previous measurement for dry proteins. The small standard deviation results from the strong correlation between the molecular polarizability and the volume of the proteins. We note that non‐amino acid cofactors such as Chlorophyll may alter the dielectric environment significantly. Furthermore, our model shows anisotropies of the dielectric constant within the same molecule according to the constituents amino acids and cofactors. Finally, by changing the amino acid protonation states, we show that a change of pH does not have a significant effect on the dielectric constants of proteins.
info:eu-repo/classification/ddc/540, dielectric constants, semi-empirical methods, Proteins, FOS: Physical sciences, electrostatic interactions, 540, proteins, Communications, Chemistry, Biological Physics (physics.bio-ph), physics.bio-ph, Electric Impedance, molecular polarizabilities, Physics - Biological Physics, Databases, Protein, QD1-999
info:eu-repo/classification/ddc/540, dielectric constants, semi-empirical methods, Proteins, FOS: Physical sciences, electrostatic interactions, 540, proteins, Communications, Chemistry, Biological Physics (physics.bio-ph), physics.bio-ph, Electric Impedance, molecular polarizabilities, Physics - Biological Physics, Databases, Protein, QD1-999
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 49 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |