Monofunctional platinum(II) complexes, such as phenanthriplatin and pyriplatin, have notably different characteristics from the bifunctional anticancer complexes, such as cisplatin and oxaliplatin, which have detrimental toxicities and resistance associated with them. The unique properties of the monofunctional complexes may be exploited to target cancer cells without producing the toxic side effects associated with the current FDA-approved platinum-based anticancer drugs. To advance the understanding of these monofunctional platinum(II) complexes, this study replaced the chloride leaving ligand with an acetate group, which should increase solubility and alter the rate of reactivity with key amino acid and nucleotide targets. Phenanthriplatin and pyriplatin compounds were reacted with silver acetate to form insoluble silver chloride and the desired complex. Proton nuclear magnetic resonance (1H NMR) spectroscopy was used to characterize the new complexes and conduct kinetic assays with guanosine 5'-monophosphate (5’-GMP). A rate constant of 2.9 (± 0.7) x 10-2 M-1s-1 was determined for the reaction between pyriplatin and 5’-GMP, previously. A preliminary rate constant of 1.8 (± 0.1) x 10-2 M-1s-1 was determined for the newly synthesized cis-[Pt(NH3)2(py)OAc]+ complex with 5’-GMP. Ligand exchange kinetics directly influences the anticancer activity and toxicity of platinum drugs. Initial results indicate that the solubility is increased, and the rate of reaction is decreased by the acetate ligand.

京都大学 / 新制・課程博士 / 博士(工学) / 甲第23219号 / 工博第4863号 / 新制||工||1759(附属図書館) / 京都大学大学院工学研究科分子工学専攻 / (主査)教授 田中 庸裕, 教授 近藤 輝幸, 准教授 菅瀬 謙治, 教授 佐藤 啓文 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

Nuclear magnetic resonance (NMR) spectroscopy is vital to synthesis and provides rich problem-solving opportunities for organic chemistry students. However, little is known about 1H NMR spectroscopy instruction or how students use spectral features in solving. The goal of this dissertation research was to examine how students learn about and solve 1H NMR spectroscopy problems. Organic chemistry textbooks were analyzed for the ways in which spectral features were introduced and incorporated into worked examples and practice problems. Spectral features like the number of signals and chemical shift were covered by problems more frequently, while integration was covered least. Think-aloud interviews were completed to identify the operators students utilized in their problem-solving processes, and extra credit problem sets were designed and administered to students at three different universities to examine whether students could correctly perform each individual type of operator. While students could perform operators, it was unclear if students knew how and when to use the operators. To fill this knowledge gap, multiple choice assessment questions were developed and administered to students at three different large universities. Coding schemes were developed to identify and describe students’ use of task features and inferences, and regression analyses were completed to discern which areas of reasoning led to success in solving. A majority of students did not identify using any critical spectral features in written explanations. Regression analyses revealed that the inferences students made, and not the task features they paid attention to, were most significantly associated with success in structural predictions; a majority of students made solely correct inferences in their reasoning explanations. When a mixture of correct and incorrect inferences were made, a majority of those students were unable to answer the questions correctly. These findings suggest that students may know enough to solve simple 1H NMR spectroscopy problems, but may lack knowledge about specific spectral features which could impact overall solving success. Students may require considerable support in deciphering the critical features in 1H NMR spectroscopy problems and developing robust, correct inferences across all spectral features.

>Magister Scientiae - MSc / Retinoblastoma Binding Protein 6 (RBBP6) is a 200 KDa multi-domain protein that has been shown to play a role in mRNA processing, cell cycle arrest and apoptosis. RBBP6 interacts with tumour suppressor proteins such as p53 and pRb and has been shown cooperate with Murine Double Minute 2 (MDM2) protein in catalyzing ubiquitination and suppression of p53. Unpublished data from our laboratory has suggested that RBBP6 and MDM2 interact with each other through their RING finger domains. RBBP6 has also been shown to have its own E3 ubiquitin ligase activity, catalyzing ubiquitination of Y-Box Binding Protein 1 (YB-1) in vitro and in vivo. YB- 1 is a multifunctional oncogenic protein that is generally associated with poor prognosis in cancer, tumourigenesis, metastasis and chemotherapeutic resistance. Unpublished data from our laboratory shows that RBBP6 catalyzes poly-ubiquitination of YB-1, using Ubiquitin-conjugating enzyme H1 (UbcH1) as E2 ubiquitin conjugating enzyme. / 2022-02-25

Nuclear magnetic resonance (NMR) is one of the main approaches for protein struc- ture determination. The biggest advantage of this approach is that it can determine the three-dimensional structure of the protein in the solution phase. Thus, the natural dynamics of the protein can be studied. However, NMR protein structure determina- tion is an expertise intensive and time-consuming process. If the structure determi- nation process can be accelerated or even automated by computational methods, that will significantly advance the structural biology field. Our goal in this dissertation is to propose highly efficient and error tolerant methods that can work well on real and noisy data sets of NMR. Our first contribution in this dissertation is the development of a novel peak pick- ing method (WaVPeak). First, WaVPeak denoises the NMR spectra using wavelet smoothing. A brute force method is then used to identify all the candidate peaks. Af- ter that, the volume of each candidate peak is estimated. Finally, the peaks are sorted according to their volumes. WaVPeak is tested on the same benchmark data set that was used to test the state-of-the-art method, PICKY. WaVPeak shows significantly better performance than PICKY in terms of recall and precision. Our second contribution is to propose an automatic method to select peaks pro- duced by peak picking methods. This automatic method is used to overcome the limitations of fixed number-based methods. Our method is based on the Benjamini- Hochberg (B-H) algorithm. The method is used with both WaVPeak and PICKY to automatically select the number of peaks to return from out of hundreds of candidate peaks. The volume (in WaVPeak) and the intensity (in PICKY) are converted into p-values. Peaks that have p-values below some certain threshold are selected. Ex- perimental results show that the new method is better than the fixed number-based method in terms of recall. To improve precision, we tried to eliminate false peaks using consensus of the B-H selected peaks from both PICKY and WaVPeak. On average, the consensus method is able to identify more than 88% of the expected true peaks, whereas less than 17% of the selected peaks are false ones. Our third contribution is to propose for the first time, the 3D extension of the Median-Modified-Wiener-Filter (MMWF), and its novel variation named MMWF*. These spatial filters have only one parameter to tune: the window-size. Unlike wavelet denoising, the higher dimensional extension of the newly proposed filters is relatively easy. Thus, they can be applied to denoise multi-dimensional NMR-spectra. We tested the proposed filters and the Wiener-filter, an adaptive variant of the mean-filter, on a benchmark set that contains 16 two-dimensional and three-dimensional NMR- spectra extracted from eight proteins. Our results demonstrate that the adaptive spatial filters significantly outperform their non-adaptive versions. The performance of the new MMWF* on 2D/3D-spectra is even better than wavelet-denoising. Finally, we propose a novel framework that simultaneously conducts slice picking and spin system forming, an essential step in resonance assignment. Our framework then employs a genetic algorithm, directed by both connectivity information and amino acid typing information from the spin systems to assign the spin systems to residues. The inputs to our framework can be as few as two commonly used spectra, i.e., CBCA(CO)NH and HNCACB. Different from existing peak picking and resonance assignment methods that treat peaks as the units, our method is based on slices, which are one-dimensional vectors in three-dimensional spectra that correspond to certain (N, H) values. Experimental results on both benchmark simulated data sets and four real protein data sets demonstrate that our method significantly outperforms the state-of-the-art methods especially on the more challenging real protein data sets, while using a less number of spectra than those methods. Furthermore, we show that using the chemical shift assignments predicted by our method for the four real proteins can lead to accurate calculation of their final three-dimensional structures by using CS-ROSETTA server.

In this study, we synthesized small-molecule, water-soluble, fluorescein-containing ureido compounds 6 and 8 as target receptors for cytosine free bases and then investigated the binding of cytosine free bases with the receptors using 15N NMR spectroscopy and partially labeled cytosine-2,4-13C-1,3,4-15N-cytosine. Binding with the receptor 6a (the disodium form of 6) caused the chemical shift of the nitrogen atom of the amino group of cytosine to move downfield; binding of the receptor 8a (the disodium form of 8), which is possessing no corresponding aryl nitrogen atom, had no effect on this signal. Fluorescence spectroscopy revealed that binding of cytosine and its derivatives led to quenching of the fluorescence of receptor 6a; in contrast, the quenching of receptor 8a was only slightly affected by cytosine. Because the fluorescence of 6a was not quenched by either deoxycytidine or uracil, it appears that this receptor is a specific for cytosine among the DNA bases. We used the fluorescence of 6a to measure the apparent binding constants for various cytosine derivatives, including the anticancer prodrug 5-fluorocytosine. Receptor 6a is the first small-molecule, water-soluble fluorescent receptor for the specific binding of cytosine free bases in aqueous solution.

As one of the natural polyphenols, resveratrol possesses hydroxyl substituted trans-stilbene structure and exerts impact on health by inhibiting multiple human enzymes, such as cyclooxygenase, F1 ATPase, and tyrosinase. Resveratrol has to be bound by human serum albumin (HSA) to keep a high concentration in serum, since its solubility is low in water. To improve water solubility and bioavailability, two resveratrol aliphatic acids and their esters have been designed and synthesized. The solubilities of the resveratrol and its derivatives have been measured using a standard procedure. The two aliphatic acids showed better solubilities in pure water and phosphate buffer (pH 7). The binding affinities of resveratrol derivatives for HSA were also measured, and the drug-protein interaction mechanism was investigated using fluorescence, UV-vis, and NMR spectroscopies. Interestingly, resveratrol hexanoic acid (5) was found to be a much better ligand (Ka = (6.70 ± 0.10) × 106 M-1) for HSA than resveratrol (Ka = (1.64 ± 0.07) × 105 M-1), and there was 41-fold improvement for the binding affinity. It was the first time that the increase of fluorescence of resveratrol moiety was observed during the binding to HSA, suggesting that 5 should be bound tightly by HSA. The UV-vis absorption spectroscopy revealed a maximum absorption shift from 318 to 311 nm with decreasing intensity by 20% upon complexation, suggesting that the π-π conjugation of the stilbene structure was impaired during the binding. Although HSA was reported to have only one binding site for resveratrol, the Job's and molar ratio plots suggested that HSA should bind two molecules of 5. NMR study suggested that phenyl group (B ring) in the center of the molecule of 5 should be involved in the π-π stacking interactions with HSA aromatic amino acid residues. Molecular geometry calculation of 5 with Spartan software showed that the stilbene structure had two conformers, orthogonal and planar ones. The former (E = -1.432 KJ/mol) was more stable than the latter (E = -0.128 KJ/mol), suggesting that the former should be the conformer of 5 in the complexation with HSA.

Nuclear magnetic resonance is a non-invasive way to observe material properties on a molecular level. Magnetic resonance imaging is an important diagnostic tool in medicine. Molecules of several metabolites in muscle tissue show similar interactions as molecules partially oriented in orienting media. These interactions could provide new information about processes in vivo, this can serve for diagnostics of metabolism. New insight into the function is gained by observation of metabolites in orienting media. Observable anisotropic interactions in muscle tissue in vivo could be used for diagnostic purposes. Anisotropic NMR interaction of solvent as a new method for observation of phase transition of hydrogel with temperature change or change of solvent composition. Use of magnetic resonance imaging in slices to observe the collapse of polyacrylamide in water-acetone mixtures. Use of diffusion-weighted magnetic resonance imaging to observe phase transition of PNIPAM-based semi-interpenetrating polymer.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第19315号 / 工博第4112号 / 新制||工||1634(附属図書館) / 32317 / 京都大学大学院工学研究科分子工学専攻 / (主査)教授 白川 昌宏, 教授 跡見 晴幸, 教授 梶 弘典 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

Lipids are important for the structural and physiological functions of neuronal cell membranes. Alterations in their lipid composition may result in membrane dysfunction and subsequent neuronal deficits that characterise various disorders. This study focused on profiling lipids of aged and LPS-treated rat brain and liver tissue with a view to explore the effect of atorvastatin in neuroinflammation, and examining lipid changes in different areas of rat brain of the Flinders Sensitive Line (FSL) rats, a genetic model of depression. Lipids and other analytes extracted from tissue samples were analysed with proton nuclear magnetic resonance spectroscopy (1H-NMR), gas chromatography (GC) and liquid chromatography-tandem mass spectroscopy (LC/ESI-MS/MS). Changes in the lipid profiles suggested that brain and liver responded differently to ageing and LPS-induced neuroinflammation. In the aged animals, n-3 PUFA were reduced in the brain but were increased in the liver. However, following treatment with LPS, these effects were not observed. Nevertheless, in both models, brain concentration of monounsaturated fatty acids was increased while the liver was able to maintain its monounsaturated fatty acid concentration. Atorvastatin reversed the reduction in n-3 PUFA in the aged brain without reducing brain and liver concentration of cholesterol. These findings further highlight alterations in lipid metabolism in agerelated neuroinflammation and show that the anti-inflammatory actions of atorvastatin may include a modulation of fatty acid metabolism. When studying the FSL model, there were differences in the lipid profile of different brain areas of FSL rats compared to Sprague-Dawley controls. In all brain areas, arachidonic acid was increased in the FSL rats. Docosahexaenoic acid and ether lipids were reduced, while cholesterol and sphingolipids were increased in the hypothalamus of the FSL rats. Furthermore, total diacylglycerophospholipids were reduced in the prefrontal cortex and hypothalamus of the FSL rats. These results show differences in the lipid metabolism of the FSL rat brain and may be suggestive of changes occurring in the brain tissue in depression.