The Degradation Chemistry of Prasugrel Hydrochloride: Part 1-Drug Substance.

Prasugrel hydrochloride is the active ingredient in Effient™, a thienopyridine platelet inhibitor. An extensive study of the degradation chemistry of prasugrel hydrochloride (LY640315 hydrochloride) has been carried out on the drug substance (part I) and on the drug product (part II, future article) using a multidimensional approach including hydrolytic, oxidative, and photolytic stressing, computational chemistry, HPLC analysis, and structure elucidation by various spectroscopic techniques. The major degradation products formed from the drug substance under the various stress conditions have been isolated and structures unambiguously determined, and the pathways leading to these products have been proposed. Fourteen new (not previously disclosed) products were discovered and characterized, in addition to 4 degradation products that had been previously identified in the literature. The pathways indicate that prasugrel is susceptible to hydrolysis, autoxidation (both radical-initiated and single-electron mediated), and peroxide-mediated oxidation; in solution, prasugrel is susceptible to photodegradation.

Fermentanomics informed amino acid supplementation of an antibody producing mammalian cell culture.

Fermentanomics, or a global understanding of a culture state on the molecular level empowered by advanced techniques like NMR, was employed to show that a model hybridoma culture supplied with glutamine and glucose depletes aspartate, cysteine, methionine, tryptophan, and tyrosine during antibody production. Supplementation with these amino acids prevents depletion and improves culture performance. Furthermore, no significant changes were observed in the distribution of glycans attached to the IgG3 in cultures supplemented with specific amino acids, arguing that this strategy can be implemented without fear of impact on important product quality attributes. In summary, a targeted strategy of quantifying media components and designing a supplementation strategy can improve bioprocess cell cultures when enpowered by fermentanomics tools.

Fermentanomics: monitoring mammalian cell cultures with NMR spectroscopy.

As the number of therapeutic proteins produced by mammalian cell cultures in the pharmaceutical industry continues to increase, the need to improve productivity and ensure consistent product quality during process development activities becomes more significant. Rational medium design is known to improve cell culture performance, but an understanding of nutrient consumption and metabolite accumulation within the medium is required. To this end, we have developed a technique for using 1D (1)H NMR to quantitate nonprotein feed components and metabolites in mammalian cell cultures. We refer to the methodology as "Fermentanomics" to differentiate it from standard metabolomics. The method was found to generate spectra with excellent water suppression, signal-to-noise, and resolution. More importantly, nutrient consumption and metabolite accumulation was readily observed. In total, 50 media components have been identified and quantitated. The application of Fermentanomics to the optimization of a proprietary CHO basal medium yielded valuable insight regarding the nutrient levels needed to maintain productivity. While the focus here is on the extracellular milieu of CHO cell cultures, this methodology is generally applicable to quantitating intracellular concentrations and can be extended to other mammalian cell lines, as well as platforms such as yeasts, fungi, and Escherichia coli.

Novel lipoglycopeptides as inhibitors of bacterial signal peptidase I.

Signal peptidase (SPase) I is responsible for the cleavage of signal peptides of many secreted proteins in bacteria. Because of its unique physiological and biochemical properties, it serves as a potential target for development of novel antibacterial agents. In this study, we report the production, isolation, and structure determination of a family of structurally related novel lipoglycopeptides from a Streptomyces sp. as inhibitors of SPase I. Detailed spectroscopic analyses, including MS and NMR, revealed that these lipoglycopeptides share a common 14-membered cyclic peptide core, an acyclic tripeptide chain, and a deoxy-alpha-mannose sugar, but differ in the degree of oxidation of the N-methylphenylglycine residue and the length and branching of the fatty acyl chain. Biochemical analysis demonstrated that these peptides are potent and competitive inhibitors of SPase I with K(i) 50 to 158 nm. In addition, they showed modest antibacterial activity against a panel of pathogenic Gram-positive and Gram-negative bacteria with minimal inhibitory concentration of 8-64 microm against Streptococcus pneumonniae and 4-8 microm against Escherichia coli. Notably, they mechanistically blocked the protein secretion in whole cells as demonstrated by inhibiting beta-lactamase release from Staphylococcus aureus. Taken together, the present discovery of a family of novel lipoglycopeptides as potent inhibitors of bacterial SPase I may lead to the development of a novel class of broad-spectrum antibiotics.

Complete relative stereochemistry of multiple stereocenters using only residual dipolar couplings.

Residual dipolar couplings (RDCs), in combination with molecular order matrix calculations, were used to unambiguously determine the complete relative stereochemistry of an organic compound with five stereocenters. Three simple one-dimensional experiments were utilized for the measurements of (13)C-(1)H, (13)C-(19)F, (19)F-(1)H, and (1)H-(1)H RDCs. The order matrix calculation was performed on each chiral isomer independently. The fits were evaluated by the comparison of the root-mean-square deviation (rmsd) of calculated and measured RDCs. The order tensor simulations based on two different sets of RDC data collected with phage and bicelles are consistent. The resulting stereochemical assignments of the stereocenters obtained from using only RDCs are in perfect agreement with those obtained from the single-crystal X-ray structure. Six RDCs are found to be necessary to run the simulation, and seven are the minimum to get an acceptable result for the investigated compound. It was also shown that (13)C-(1)H and (1)H-(1)H RDCs, which are the easiest to measure, are also the most important and information-rich data for the order matrix calculation. The effect of each RDC on the calculation depends on the location of the corresponding vector in the structure. The direct RDC of a stereocenter is important to the configuration determination, but the configuration of stereocenters devoid of protons can also be obtained from analysis of nearby RDCs.