Pancreatic inhibitors

Enzyme incorporation in IPEC may be effectively used to control availability of catalytic sites for inhibitors, especially those of high molecular mass. In the latter case the active sites of the IPEC-incorporated enzyme can be protected from inhibition not only in the precipitate but also in solution. This is illustrated by the data obtained from investigating the interaction of IPEC-incorporated CT with basic pancreatic inhibitor of trypsin (BPIT) (M.m. 6500) [43]. Figure 10.10a shows that CT attached to Q-P4VP GPE and complexed with PMANa HPE is at least partly protected from BPIT even at pH 7.5, i.e. pretty far from the pH value (< 6) corresponding to phase separation (Fig. 10.10a, curve 1). At pH 6, IPEC-entrapped CT being still in solution is considerably protected... 

The essential slow modes of a protein during a simulation accounting for most of its conformational variability can often be described by only a few principal components. Comparison of PGA with NMA for a 200 ps simulation of bovine pancreatic trypsic inhibitor showed that the variation in the first principal components was twice as high as expected from normal mode analy-si.s ([Hayward et al. 1994]). The so-called essential dynamics analysis method ([Amadei et al. 1993]) is a related method and will not be discussed here. 

As examples of applications, we present the overall accuracy of predicted ionization constants for about 50 groups in 4 proteins, changes in the average charge of bovine pancreatic trypsin inhibitor at pH 7 along a molecular dynamics trajectory, and finally, we discuss some preliminary results obtained for protein kinases and protein phosphatases. 

The presented algorithm was applied to 4 proteins (lysozyme, ribonuclease A, ovomucid and bovine pancreatic trypsin inhibitor) containing 51 titratable residues with experimentally known pKaS [32, 33]. Fig. 2 shows the correlation between the experimental and calculated pKaS. The linear correlation coefficient is r = 0.952 the slope of the line is A = 1.028 and the intercept is B = -0.104. This shows that the overall agreement between the experimental and predicted pKaS is good. 

M. H. Hao, M. R. Pincus, S. Rackovsky, and H. A. Scheraga. Unfolding and refolding of the native structure of bovine pancreatic trypsin inhibitor studied by computer simulations. Biochemistry, 32 9614-9631, 1993. 

In periodic boimdary conditions, one possible way to avoid truncation of electrostatic interaction is to apply the so-called Particle Mesh Ewald (PME) method, which follows the Ewald summation method of calculating the electrostatic energy for a number of charges [27]. It was first devised by Ewald in 1921 to study the energetics of ionic crystals [28]. PME has been widely used for highly polar or charged systems. York and Darden applied the PME method already in 1994 to simulate a crystal of the bovine pancreatic trypsin inhibitor (BPTI) by molecular dynamics [29]. 

Brooks B and M Karplus 1983. Harmonic Dynamics of Proteins Normal Modes and Fluctuations in Bovine Pancreatic Trypsin Inhibitor. Proceedings of the National Academy of Sciences USA 80 6571-6575. 

Fig. 1. Inhibition of porcine pancreatic a-amylase. Substrates, an inhibitor, and their binding orientations in the active site are shown schematically. The arrows denote the catalytic site in each case, (a) The small substrate, G2PNP [17400-77-0] (3) (b) the large substrate, G OH [13532-61 -1] (4) and (c) the inhibitor, 4-phenyl imidazole (5) and the substrate G2PNP (3) in the binding orientation for noncompetitive inhibition. The binding orientation of G2PNP...

M Vasquez, ElA Scheraga. Calculation of protein conformation by the build-up procedure. Application to bovine pancreatic trypsin inhibitor using limited simulated nuclear magnetic resonance data. J Biomol Struct Dyn 5 705-755, 1988. 

The details of many all-atom unfolding simulation studies have been summarized in several reviews [17,46,47]. These studies include unfolding simulations of a-lactalbumin, lysozyme, bovine pancreatic trypsin inhibitor (BPTI), barnase, apomyoglobin, [3-lacta-mase, and more. The advantage of these simulations is that they provide much more detailed information than is available from experiment. However, it should be stressed that there is still only limited evidence that the pathways and intermediates observed in the nanosecond unfolding simulations correlate with the intermediates observed in the actual experiments. 

ST Russell, A Warshel. Calculations of electrostatic energies m proteins The energetics of ionized groups m bovine pancreatic trypsin inhibitor. J Mol Biol 185 389-404, 1985. 

Wlodawer, A., Deisenhofer, J., Huber, R. Comparison of two highly refined structures of bovine pancreatic trypsin inhibitor. /. Mol. Biol. 193 145-156, 1987. 

Weissman, J.S., Kim, P.S. Kinetic role of non-native species in the folding of bovine pancreatic trypsin inhibitor. Proc. Natl. Acad. Sci. USA 89 9900-9904, 1992. 

FIGURE 6.25 The three-dimensional structure of bovine pancreatic trypsin inhibitor. 

LY311727 is an indole acetic acid based selective inhibitor of human non-pancreatic secretory phospholipase A2 (hnpsPLA2) under development by Lilly as a potential treatment for sepsis. The synthesis of LY311727 involved a Nenitzescu indolization reaction as a key step. The Nenitzescu condensation of quinone 4 with the p-aminoacrylate 39 was carried out in CH3NO2 to provide the desired 5-hydroxylindole 40 in 83% yield. Protection of the 5-hydroxyl moiety in indole 40 was accomplished in H2O under phase transfer conditions in 80% yield. Lithium aluminum hydride mediated reduction of the ester functional group in 41 provided the alcohol 42 in 78% yield. 

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