Biochemical and molecular modeling analysis of the ability of two p-aminobenzamidine-based sorbents to selectively purify serine proteases (fibrinogenases) from snake venoms.

Snake venoms contain several trypsin-like enzymes with equivalent physicochemical characteristics and similar inhibition profiles. These are rather difficult to separate by classical purification procedures and therefore constitute a good model for affinity chromatography analysis. Some of these trypsin homologues present fibrinogenase activity, mimicking one or more features of the central mammalian coagulation enzyme, thrombin. It was previously demonstrated that a number of amidine derivatives are able to interact specifically with some of these serine proteases. To understand the enzyme-sorbent interactions we have investigated the ability of two commercially available benzamidine affinity matrices to purify thrombin-like serine proteases (TLSP) with similar biological properties from two snake venoms (Bothrops jararacussu and Lachesis muta rhombeata). Curiously, each sorbent retained a single but distinct TLSP from each venom with high yield. Molecular modeling analysis suggested that hydrophobic interactions within a specific region on the surface of these enzymes could be generated to explain this exquisite specificity. In addition, it was demonstrated that a specific tandem alignment of the two benzamidine sorbents enables the purification of three other enzymes from B. jararacussu venom.

Pseudo-peptides derived from isomannide as potential inhibitors of serine proteases.

Hepatitis C, Dengue and West Nile virus are among of the most important flaviviruses that share one important serine protease enzyme. Serine proteases belong to the most studied class of proteolytic enzymes, and are a primary target in the drug development field. In this paper, we describe the synthesis and preliminary molecular modeling studies of a novel class of N-t-Boc amino acid amides derived of isomannide as potential serine proteases inhibitors.

N- t-Boc-amino acid esters of isomannide. Potential inhibitors of serine proteases.

Hepatitis C, Dengue and West Nile virus are some of the most important flaviviruses, that share one important serine protease enzyme. Serine proteases are the most studied class of proteolytic enzyme and, in these cases, a primary target for drug discovery. In this paper, we describe the synthesis and preliminary molecular modeling studies of a novel class of N- t-Boc amino acid esters derived of isomannide as potential serine proteases inhibitors.

Homology modeling of wild type and pyrimethamine/cycloguanil-cross resistant mutant type Plasmodium falciparum dihydrofolate reductase. A model for antimalarial chemotherapy resistance.

We propose a low-resolution model for both the wild type and the pyrimethamine (Pyr)/cycloguanil (Cyc) cross-resistant mutant type Plasmodium falciparum DHFR (PfDHFR), based on homology modeling using chicken liver DHFR as a template. The built models contain five alpha-helices, eight beta-sheets, eight tight turns and several loops. The Ramachandran plot for the models shows 95.3 and 100% of the amino acid residues in the favorable regions for the whole enzymes and for the active sites, respectively. Furthermore, we made a preliminary analysis of the complexes Pyr/Cyc-wild DHFR and Pyr/Cyc-mutant DHFR in order to explain the probable mechanism of resistance. Our results show that the steric factor may be the main structural cause of P. falciparum resistance toward antifolate drugs.

Proposal of a new PAF pharmacophoric map by the AM1 method.

PAF is a powerful phospholipid-derived autacoid involved in many pathophysiological processes. Many PAF antagonists have been synthesized and assayed for therapeutic purposes. We have synthesized derivatives (5-7), structurally related to WEB 2086 (1), which were rationally designed based on a planar PAF receptor model previously described by Bures et al. (1994; J. Chem. Inf. Comput. Sci. 24, 218-223). However, pharmacological studies revealed that derivatives (5-7) were inactive as PAF antagonists. AM1 quantum calculations of classical PAF antagonists (1-4), as well as of our derivatives (5-7), demonstrated that electronic features alone are unable to explain the lack of the activity of (5-7). These results induced us to propose a new tridimensional PAF receptor pharmacophoric map by analyzing all stable conformations obtained for derivatives (1-4). The interpoint distances (D1-D5) revealed that the lowest-energy conformers of (5-7) had similar geometries to derivatives (1-4). So, these aspects could not explain the inactivity of the compounds (6-7). The proposed model suggests that the best fit of antagonist compounds may involve the participation of a sulfur atom electron lone pair adequately oriented in relation to the plane of a N-aromatic ring present in the compounds investigated.

Four-dimensional quantitative structure-activity relationship analysis of a series of interphenylene 7-oxabicycloheptane oxazole thromboxane A2 receptor antagonists.

A series of 39 (a training set of 29 and a test set of 10) interphenylene 7-oxabicyclo [2.2.1]heptane oxazole thromboxane A2 (TXA2) receptor antagonists were studied using four-dimensional quantitative structure-activity relationship (4D-QSAR) analysis. Two thousand conformations of each analogue were sampled to generate a conformational energy profile (CEP) from a molecular dynamic simulation (MDS) of 100,000 trajectory states. Each conformation was placed in a grid cell lattice for each of six trial alignments. Cubic grid cell sizes of 1 and 2 A were considered. The frequency of occupation of each grid cell was computed for each of seven types of pharmacophoric group classes of atoms of each compound. These grid cell occupancy descriptors (GCODs) were then used as independent variables in constructing three-dimensional (3D)-QSAR models after data reduction. The types of data reduction included doing no reducing, reduction based on individual GCOD correlation with activity, and reduction from minimum variance constraints over the GCOD population. The 3D-QSAR models were generated and evaluated by a scheme that combines a genetic algorithm (GA) optimization with partial least squares (PLS) regression. The 3D-QSAR models were evaluated by cross-validation using the leave-one-out technique. The cross-validated correlation coefficient, Q2, ranged from 0.27 to 0.86. The models are not from chance correlation because a scrambled data set was generated and evaluated (Q2 = 0.25-0.37). A composite 3D-QSAR model was constructed using the best models derived from GCODs of both 1 and 2 A grid cell size lattices. The 3D-QSAR models provide detailed 3D pharmacophore requirements in terms of atom types and corresponding locations needed for high TXA2 inhibition activity. Specific sites in space that should not be occupied by an active inhibitor are also specified. The GCOD measures for the compounds in the training set permit reference points regarding which pharmacophore sites can provide the largest boosts in inhibition activity relative to the existing analogues.

The protonation of a retinyl Schiff base: a study by FTIR spectroscopy at low temperature in solution.

The hydrogen bonding-protonation equilibrium for retinyl Schiff base/propionic acid or 3-chloropropionic acid systems was examined by Fourier transform infrared spectroscopy in non polar solutions at temperatures ranging from 25 degrees C to about -150 degrees C. The spectra give evidence for the gradual increase in the degree of protonation as temperature is lowered. The bearing of this on applying low temperature spectroscopic results to physiological conditions in rhodopsin research is discussed.