Parazoanthoxanthin A is a fluorescent yellow nitrogenous pigment of the group of zoanthoxanthins, which show a broad range of biological activity. These include, among others, the ability to bind to DNA. In this study we have used a variety of spectroscopic (intrinsic fluorescence emission and UV-spectroscopy) and hydrodynamic techniques (viscometry) to characterize in more detail the binding of parazoanthoxanthin A to a variety of natural and synthetic DNA duplexes in different buffer conditions. Our results reveal the following five significant features: (i) Parazoanthoxanthin A exhibits two modes of DNA binding: One binding mode exhibits properties of intercalation, while the second binding mode is predominantly electrostatic in origin. (ii) The apparent binding "site size" for parazoanthoxanthin A near physiological salt concentration (100 mM NaCl) is in the range of 7 +/- 1 base pairs for natural genomic DNA duplexes (calf thymus and salmon testes DNA) and alternating synthetic polynucleotides (poly[d(AT)]. poly[d(AT)] and poly[d(GC)]. poly[d(GC)]). A slightly larger apparent binding site size of 9 +/- 1 bp was obtained for parazoanthoxanthin A binding to the synthetic homopolymer poly[d(A)]. poly[d(T)]. (iii) Near physiological salt concentration (100 mM NaCl) parazoanthoxanthin A binds with the same approximate binding affinity of 2-5 x 10(5) M(-1) to all DNA polymers studied. (iv) At low salt concentration, parazoanthoxanthin A preferentially binds alternating poly[d(AT)]. poly[d(AT)] and poly[d(GC)]. poly[d(GC)] host duplexes. (v) Parazoanthoxanthin A inhibits DNA polymerase in vitro.

This paper discusses the stability of TCP. More precisely, the stationary behavior of the congestion window process is analyzed based on the measured real Internet traffic (bulk data transfer, FTP of large files). Appropriate algorithm approximating the actual congestion window is presented, and statistical methods to analyze the data are discussed in detail: change-point detection, distribution testing and parameter estimation. It has been shown that the distribution of the congestion window process during stable periods has a bell-like shape and can be approximated by a normal distribution. A number of interesting observations during the study are depicted and explained. Finally, possibilities for building reliable and robust models for the TCP protocol in the future, are discussed.