Pepstatin A--a human leukocyte chemoattractant.
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The synthesis of aspartic proteinase inhibitors derived from a new histidine side-chain analogue of statine (Sta), (3S,4S)-4-amino-3-hydroxy-5-(imidazol-4-yl)pentanoic acid (HiSta, 20), is reported. Boc-HiSta(BOM)-OMe (7) was prepared in 16% overall yield from Boc-His(pi-BOM)-OH via formation of the tetramic acid derivative 11 and stereoselective cis reduction with NaBH4 to the 4-hydroxy lactam 12. Removal of the Boc group from ester 7 (enantiomeric purity ee = 88-90%) and coupling to the tripeptide segment Iva-Val-Val-OH (13) by the DCC/HOBt preactivation method followed by hydrogenolytic removal of the pi-BOM group over Pd(OH)2 on carbon gave Iva-Val-Val-HiSta-OMe (16). This new peptide 16 is a very potent inhibitor of the fungal aspartic proteinase penicillopepsin (Ki = 4.5 x 10(-9) M) that is 10 times more active than the comparable Sta-containing inhibitor 3 and 2-3 times more potent than the new (3S,4S)-4-amino-3-hydroxy-5-phenylpentanoic acid (AHPPA) analogue 17 (Ki = 1.5 x 10(-8) M). However, compound 16, which has an imidazole residue at the P1 position, is a significantly weaker inhibitor of the enzyme than the corresponding analogues with the lysine (5) and ornithine (6) side chains at P1. Considerations that led to the synthesis of 16 and the results of the enzyme kinetics are discussed in detail.
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Xanthomonas carboxyl proteinase (XCP), isolated from Xanthomonas sp. T-22, is the second example of the unique carboxyl proteinases [EC 3.4.23.33] which are insensitive to the classical aspartic proteinase inhibitor. The gene coding for XCP was cloned, sequenced, and expressed in Escherichia coli. The XCP gene contains an open reading frame of 2,481 base pairs encoding a protein of 827 amino acid residues with a M(r) of 83,677. The XCP was synthesized as a large precursor consisting of three regions: NH2-terminal prepro (N-Prepro) (237 amino acid residues); mature XCP (398 a.a.residues); and COOH-terminal pro (C-Pro) (192 a.a. residues). The N-Prepro and mature XCP regions had no sequence similarity to any other proteins reported so far, except the carboxyl proteinase from Pseudomonas sp. 101 [Oda, K., Takahashi, T., Tokuda, Y., Shibano, Y., and Takahashi, S. (1994) J. Biol. Chem. 269, 26518-26524]. The C-Pro region showed high similarity to COOH-terminal regions of other microbial proteinase precursors. E. coli carrying a plasmid containing the cloned wild-type XCP gene produced an 84-kDa protein. This protein was processed into a mature, active form under acidic conditions. This process was completely blocked by tyrostatin, an XCP-specific inhibitor from Kitasatosporia sp. 55, indicating an autocatalytic processing. The purified recombinant XCP had the same characteristics as authentic XCP except for the NH2-terminal amino acid sequence. When the mutant XCP gene truncated in the C-Pro region was expressed in E. coli, an expected 64-kDa protein was detected in the cells, and also processed into the 42-kDa active form under the acidic conditions. Thus, the C-Pro region was not essential for the formation of active mature XCP.
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A chromosomal DNA fragment of Scytalidium lignicolum that encodes the mature enzyme region of acid protease B (Scytalidopepsin B), was cloned and its nucleotides sequenced. The fragment contained a 76-bp intron at the middle of the mature enzyme-coding region. The mature enzyme was composed of 206 amino acid residues with a molecular weight of 21,550. There were some discrepancies between the amino acid sequence deduced from these results and that previously established by protein sequencing.
Expeditious in silico determinations of the free energies of binding of a series of inhibitors to an enzyme are of immense practical value in structure-based drug design efforts. Some recent advances in the field of computational chemistry have rendered a rigorous thermodynamic treatment of biologic molecules feasible, starting from a molecular description of the biomolecule, solvent, and salt. Pursuing the goal of developing and making available a software for assessing binding affinities, we present here a computationally rapid, albeit elaborate, methodology to estimate and analyze the molecular thermodynamics of enzyme-inhibitor binding with crystal structures as the point of departure. The complexes of aspartic proteinases with seven inhibitors have been adopted for this study. The standard free energy of complexation is considered in terms of a thermodynamic cycle of six distinct steps decomposed into a total of 18 well-defined components. The model we employed involves explicit all-atom accounts of the energetics of electrostatic interactions, solvent screening effects, van der Waals components, and cavitation effects of solvation combined with a Debye-Huckel treatment of salt effects. The magnitudes and signs of the various components are estimated using the AMBER parm94 force field, generalized Born theory, and solvent accessibility measures. Estimates of translational and rotational entropy losses on complexation as well as corresponding changes in the vibrational and configurational entropy are also included. The calculated standard free energies of binding at this stage are within an order of magnitude of the observed inhibition constants and necessitate further improvements in the computational protocols to enable quantitative predictions. Some areas such as inclusion of structural adaptation effects, incorporation of site-dependent amino acid pKa shifts, consideration of the dynamics of the active site for fine-tuning the methodology are easily envisioned. The present series of studies, nonetheless, creates potentially useful qualitative information for design purposes on what factors favor protein-drug binding. The net binding free energies are a result of several competing contributions with 6 of the 18 terms favoring complexation. The nonelectrostatic contributions (i.e., the net van der Waals interactions) and the differential cavitation effects favor binding. Electrostatic contributions show considerable diversity and turn out to be favorable in a consensus view for the seven aspartic proteinase-inhibitor complexes examined here. Implications of these observations to drug design are discussed.
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