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Title: Proteomics approaches to polyketide synthases interfaces by mass spectrometry and NMR spectroscopy and the application of chemometrics to metabolomics
Author: Abdullah, Sewa Faraj
ISNI:       0000 0004 5923 3546
Awarding Body: University of Bristol
Current Institution: University of Bristol
Date of Award: 2014
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Proteomics is a rapidly growing discipline dealing with structure, molecular interactions, conformational dynamics, modifications and the functions of proteins. Mass spectrometry (MS) and (nuclear magnetic resonance) (NMR) have been used comprehensively to study protein interactions. Acyl carrier protein (ACP) interacts with more than 30 partner proteins during either fatty acid or polyketide biosynthesis. In order to be fully activated ACP gains a 4'-phosphopantetheinyl (4'-PP) group from coenzyme A using acyl carrier protein synthase (AcpS) via posttranslational modification. Protein-protein interactions of the ACP from the actinorhodin (act) polyketide synthase (PKS) complex and AcpS were investigated using oxidative footprinting with hydroxyl radicals generated from the Fenton reaction. Chemical modification of acidic residues was also used to investigate the interaction between these proteins using l-ethyl-3-(3- dimethylaminopropyl) carbodiimide (EDC) this acted as a zero length cross linker to induce modification with Me-Glycine. MS was used to identify the modified residues and peptides and the extent of modification. Several residues were found to be protected in the complex between the two proteins and these may participate in the interaction interface between ACP and ACPS. Isotopically labelled ACP was expressed and purified and multidimensional NMR experiments were recorded to investigate this interaction interface identified using oxidative footprinting techniques. Chemical shift perturbations for ACP residues were calculated, and these revealed that many residues were affected by oxidation of ACP. Oxidation of methionine to methionine sulfoxide was confirmed. Metabolomics is a discipline which deals with metabolites in a biological system. It provides a wealth information for disease diagnosis, drug discovery, toxicology and genetic modification. Attempts have been made in this thesis to utilize metabolomics in biometrics. Mice were used as a model to attempt to determine individuals' age by their scent. In this part of the project chemometric methods were used to discriminate mice using a gas chromatography-mass spectrometry dataset of volatile organic compounds obtained from their urine. Principal component regression (PCR), partial least squares regression (PLSR) and support vector regression (SVR) were used to determine mouse age. Mice could be discriminated by their age using SVR without overfitting the data.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available