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  • 1
    ISSN: 1573-4951
    Keywords: anti-inflammatory agents ; cyclooxygenase inhibitors ; fenamates ; PGHS-1 ; QSAR modeling
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract PGHS-1 and PGHS-2 are the targets of nonsteroidal anti- inflammatory drugs (NSAIDs). It appears that the high degree of selectivity for inhibition of PGHS-2 shown by certain compounds is the result of two mechanisms (time-dependent and time-independent inhibition), by which they interact with each isoform. The fenamic acids can be divided into competitive inhibitors of substrate binding and competitive inhibitors that cause time-dependent losses of cyclooxygenase activity. The cyclooxygenase activity was measured by oxygen consumption following preincubation of the enzyme and the inhibitor for increasing periods of time. The rate constants associated with binding inhibition kinetics and structure-activity relationships were calculated for a large number of fenamates, diclofenac and indomethacin. The KI* values are similar but the individual rate constants are markedly different: KI is two-fold lower, and k2 is six-fold slower for diclofenac than for indomethacin. All the active time-dependent compounds show MEPs with a negative conical surface, with their vertex on the minimum of the carboxyl group, which extends around the first aromatic ring to the central region. The conical surface keeps an open angle of 61° or larger, and a close contact surface with the residues Ala527, Ileu523, Val349, and Ser530, in the zones surrounding the bridging amino group and the chlorine atoms for meclofenamate and diclofenac, or in the region around the carbonyl group for indomethacin. The KI* and IC50 values indicate that the interactions that promote the slow binding kinetics must be examined in relation to the reaction energies of formation (ΔHr) of an ionic bond between the deprotonated carboxylic acid group of acid NSAIDs with the monocationic guanidinum group of Arg120, the free energies of solvation in aqueous solution, and the molecular volumes measured. Presumably indomethacin, diclofenac and meclofenamate cause the enzyme to undergo a subtle conformational change to a form that binds compounds even more tightly, with some slight structural changes confined to reorientations of the Arg277 and Gln358 side chains. These results show that the model has reliably chosen regions of biological significance consistent with both the X-ray crystallographic and kinetic results.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of computer aided molecular design 11 (1997), S. 395-408 
    ISSN: 1573-4951
    Keywords: Sequence alignment strategies ; Assessment of secondary structure prediction methods ; Solvation ; AUTODOCK ; Molecular electrostatic potential
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract The three-dimensional modelling of proteins is a useful tool to fill the gap between the number of sequenced proteins and the number of experimentally known 3D structures. However, when the degree of homology between the protein and the available 3D templates is low, model building becomes a difficult task and the reliability of the results depends critically on the correctness of the sequence alignment. For this reason, we have undertaken the modelling of human cytochrome P450 1A2 starting by a careful analysis of several sequence alignment strategies (multiple sequence alignments and the TOPITS threading technique). The best results were obtained using TOPITS followed by a manual refinement to avoid unlikely gaps. Because TOPITS uses secondary structure predictions, several methods that are available for this purpose (Levin, Gibrat, DPM, NnPredict, PHD, SOPM and NNSP) have also been evaluated on cytochromes P450 with known 3D structures. More reliable predictions on α-helices have been obtained with PHD, which is the method implemented in TOPITS. Thus, a 3D model for human cytochrome P450 1A2 has been built using the known crystal coordinates of P450 BM3 as the template. The model was refined using molecular mechanics computations. The model obtained shows a consistent location of the substrate recognition segments previously postulated for the CYP2 family members. The interaction of caffeine and a carcinogenic aromatic amine (MeIQ), which are characteristic P450 1A2 substrates, has been investigated. The substrates were solvated taking into account their molecular electrostatic potential distributions. The docking of the solvated substrates in the active site of the model was explored with the AUTODOCK programme, followed by molecular mechanics optimisation of the most interesting complexes. Stable complexes were obtained that could explain the oxidation of the considered substrates by cytochrome P450 1A2 and could offer an insight into the role played by water molecules.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2015-10-15
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
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