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William L Fitch

Publications and source records attributed to William L Fitch.

5 recordsLinked to original sources

Analytical tools and approaches for metabolite identification in early drug discovery.

Determination of the chemical structures of metabolites is a critical part of the early pharmaceutical discovery process. Understanding the structures of metabolites is useful both for optimizing the metabolic stability of a drug as well as rationalizing the drug safety profile. This review describes the current state of the art in this endeavor. The likely outcome of metabolism is first predicted by comparison to the literature. Then metabolites are synthesized in a variety of in vitro systems. The various approaches to LC/UV/MS are applied to learn information about these metabolites and structure hypotheses are made. Structures are confirmed by synthesis or NMR. The special topic of reactive metabolite structure determination is briefly addressed.

Animals↗

Identification of glutathione-derived metabolites from an IP receptor antagonist.

The metabolic fate of three aromatic carboxylic acid analogs under evaluation as prostaglandin I2-preferring receptor antagonists was studied. The initial analog with unsubstituted phenyl groups was subject to a complex set of aromatic oxidative biotransformations. By introduction of one or two fluorines, these pathways were inhibited. All three analogs were metabolized to a wide variety of carboxylic acid conjugates. Among these were several conjugates formed via secondary metabolism and oxidation of acyl glutathione intermediates. Two of the structure classes, represented by the S-methyl-N-cysteinylglycine conjugate and the N-cysteinylglycine disulfide conjugates, have been described only rarely in the literature. The related S-oxide of the S-methyl-N-cysteinylglycine conjugate and the N,S-bis-acyl derivative of cysteinylglycine are here described for the first time as conjugate metabolites of carboxylic drugs.

Animals↗

Software for automating analysis of encoded combinatorial libraries.

This paper describes the applications which are used to automate the analysis of encoded combinatorial libraries. Commercial packages from MDL, Oracle and Agilent are linked with application software written in C/C++, in Microsoft Access and in ChemStation macro language. Encoding correspondence lists for each of up to three synthetic steps are conveniently associated with building block lists using the first application, CodeGen. The second application Decode allows the user to identify the individual beads picked onto a 96-well plate and the pool number for each bead. The decoding chromatography data for each well is then loaded into the program. The chromatography data is used to identify the tags used in the synthesis. Along with the building block information from ISIS/Host, the building block used in each step of the synthesis can be identified. A third routine, Code-to-Structure, takes the coded library building blocks and creates the connection table in ISIS for each structure found by the decode program. For quality control of encoded library synthesis, the decoded structures on a set of beads is compared to the LC/UV/MS data for the ligand cleaved from the same bead. CAPTURE, a GlaxoSmithKline proprietary application, is used to display and analyze the decoded structures and associated mass spectral data. This application uses simple isotopic composition and electrospray ionization rule sets to predict mass spectra and judge the concordance of a structure- mass spectrum data set. An ancillary program, EIC, is used to extract predicted single ion chromatograms from the full scan LC/MS data.

Combinatorial Chemistry Techniques↗

Agonists of the follicle stimulating hormone receptor from an encoded thiazolidinone library.

The design, synthesis, characterization, and screening of a large, encoded thiazolidinone library are described. Three sets of 35 building blocks were combined by encoded split-pool synthesis to give a library containing more than 42 000 members. Building block selection was based in part on a novel small molecule follicle stimulating hormone receptor agonist hit and in part for diversity. HPLC/MS techniques were applied at the single-bead level to build confidence in the reliability of library construction. Application of two distinct screening strategies resulted in the identification of compounds with significantly improved potency over the initial hit. This work demonstrates the versatility of encoded libraries for preparing a large number of analogues of a given hit while simultaneously generating a large collection of compounds for screening against other targets.

Aldehydes↗

Prediction of ultraviolet spectral absorbance using quantitative structure-property relationships.

High performance liquid chromatography (HPLC) with ultraviolet (UV) spectrophotometric detection is a common method for analyzing reaction products in organic chemistry. This procedure would benefit from a computational model for predicting the relative response of organic molecules. Models are now reported for the prediction of the integrated UV absorbance for a diverse set of organic compounds using a quantitative structure-property relationship (QSPR) approach. A seven-descriptor linear correlation with a squared correlation coefficient (R2) of 0.815 is reported for a data set of 521 compounds. Using the sum of ZINDO oscillator strengths in the integration range as an additional descriptor allowed reduction in the number of descriptors producing a robust model for 460 compounds with five descriptors and a squared correlation coefficient 0.857. The descriptors used in the models are discussed with respect to the physical nature of the UV absorption process.

Journal Article↗