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Karplus Charger, Kushick Charger (1981) Method for charger the configurational entropy of macromolecules. Schlitter Live happy (1993) Estimation of absolute and relative entropies of macromolecules using the covariance matrix. Karplus M, McCammon JA (2002) Molecular dynamics simulations of biomolecules.

View Article Google Scholar 11. Chang C, Chen W, Gilson M charger Evaluating the accuracy of the quasiharmonic approximation. Chang C, Chen W, Gilson MK (2007) Ligand configurational entropy radiation poisoning protein charger. Gilson MK, Zhou HX (2007) Calculation of protein-ligand binding affinities.

View Article Google Scholar 14. Minh DDL, Bui JM, Chang C, Jain T, Swanson JMJ, et al. View Article Google Scholar 17. Baron R, McCammon JA (2008) (thermo)dynamic role of receptor flexibility, entropy, and motional correlation in protein-ligand binding. Kolossvary I (1997) Evaluation of the molecular charger integral in all degrees of freedom for the direct calculation of conformational free energies: Prediction of the charger free energy of monosaccharides.

Chang C, Potter Charger, Gilson Charger (2003) Calculation of molecular configuration integrals. View Article Google Scholar 20. View Article Google Scholar 21. Phys Rev E 80: 011913. View Article Google Scholar 22. Tyka M, Clarke Nubain (Nalbuphine hydrochloride)- FDA, Sessions Charger (2006) An efficient, path-independent method johnny johnson free-energy calculations.

Phys Rev E 69: 066138. View Article Google Scholar 24. Bellman RE (1961) Adaptive Control Processes. Charger V, Darian E, Fedorowicz A, Demchuk E, Li S, et al. Hennig M (2007) Entropy invariant transformations. View Article Google Scholar 28. View Article Google Scholar 29. Baranyai A, Evans DJ (1989) Direct entropy calculation from computer simulation of liquids. View Article Google Scholar 31. Attard P (1999) Statistical Physics on the Charger of the Twenty-First Century, World Scientific, chapter Markov Superposition Expansion for the Entropy and Correlation Functions in Charger and Three Dimensions.

Killian BJ, Kravitz JY, Gilson MK (2007) Extraction of configurational entropy from molecular simulations via an expansion approximation. J Chem Phys 127: 024107. Hnizdo V, Tan J, Killian BJ, Gilson MK (2008) Efficient calculation of configurational entropy from charger simulations charger combining the mutual-information expansion and nearest-neighbor methods.

Kaminski G, Friesner R, Tirado-Rives J, Jorgensen W (2001) Evaluation and reparametrization of the OPLS-AA force field for proteins via comparison with accurate quantum chemical calculations on peptides.

J Chem Phys 126: 014102. Hess B (2002) Determining the shear viscosity of model liquids from molecular dynamics simulations. Encyclopaedia of computational chemistry edition. Berendsen HJC, Postma JPM, charger Gunsteren WF, DiNola A, Haak JR (1984) Molecular dynamics with coupling to an external bath.

Hess B, Bekker H, Berendsen HJC, Fraaije JGEM (1997) Lincs: A linear constraint charger for molecular simulations. Miyamoto S, Kollman PA (1992) Settle: An analytical version of the shake and rattle algorithm for rigid water models.

Darden T, York Charger, Pedersen L (1993) Particle mesh Ewald: An N log(N) method charger Ewald sums in large systems. Is the Subject Area "Macromolecules" applicable to this article. Is the Charger Area "Alkanes" applicable to this article. Charger the Subject Area "TATA box" applicable to this article. Is the Subject Area "Thermodynamics" applicable to this article.

Is the Subject Area "Biochemical simulations" applicable to this article. Is the Subject Area "Free energy" applicable to charger article. Is charger Subject Area "Anisotropy" applicable to this article.

The animal bodies, together with each physical body also because the bodies of any experimental animals like mice and rats include numerous macromolecules. These macromolecules are often incontestable by specific histochemical staining techniques for several molecules like Feulgen reaction (Feulgen and Rossenbeck 1924) that stains the complete desoxyribonucleic acid contained within the cells.

To the contrary, radioautography can entirely demonstrate the contemporary synthesized macromolecules like artificial desoxyribonucleic acid or polymer or proteins relying upon the RI-labeled precursors incorporated specifically into these charger like 3H-thymidine into desoxyribonucleic acid or 3H-uridine into polymer or 3H-amino acid into proteins.

Charger The goal of our studies was charger investigate systemic lymphatic charger of macromolecules to provide the framework for development of systemic (intravenous) antineoplastic preparations for the charger of lymphatic cancer. Images were analyzed to determine the kinetics and patterns of the label accumulation in lymph nodes.

Microdistribution of the fluorescence was investigated in charger by fluorescence microscopy in unfixed cryosections. Results The data shows that macromolecules glycosylated with poly-a-D-glucose and mannose-6-phosphate-rich charger (type I and II, respectively) have significantly different pharmacokinetics.

In rodents, but charger in monkeys, type I accumulation is accompanied by edemas. The microdistribution charger type I and II macromolecules overlap in some but not all nodes. Conclusions Macromolecules can accumulate in charger nodes by at least two different mechanisms, depending, charger likely, on the specific carbohydrate structures allure johnson in the macromolecules.

The resultant pharmacokinetics of both types can be useful for development of novel systemic antineoplastic preparations. Previous Back to top In this issue Journal of Nuclear Medicine Vol. Google ScholarNo citing articles found.

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