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EVOLUTION AND PREVENTION OF ANTIBIOTIC RESISTANCE PDF

172 Pages·2013·2.49 MB·English
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EVOLUTION AND PREVENTION OF ANTIBIOTIC RESISTANCE: SMALL MOLECULE INHIBITORS OF BACTERIAL RECOMBINATION ENZYMES Eliza J.R. Peterson A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biochemistry and Biophysics Chapel Hill 2013 Approved by: Scott F. Singleton, Ph.D. Ann H. Erickson, Ph.D. Miriam Braunstein, Ph.D. Charles W. Carter Jr, Ph.D Edward J. Collins, Ph.D. Abstract ELIZA J.R. PETERSON: Evolution and Prevention of Antibiotic Resistance: Small Molecule Inhibitors of Bacterial Recombination Enzymes (Under the direction of Scott F. Singleton) Antibiotic resistant bacteria are an ever-increasing problem for the modern chemotherapy of bacterial infectious diseases. The loss of effective antibiotic therapies due to antibiotic resistance and the withering antibiotic pipeline are resulting in a reemergence in deaths from bacterial infections. New strategies are needed to combat pathogenic bacteria and in this context bacterial targets involved in the development of resistance are emerging an intriguing candidates for inhibition studies. Recent evidence suggests that bacterial stress response pathways (i.e., SOS and competence for transformation) are responsible for accelerated genetic changes that ultimately establish antibiotic resistance. Intervening in these pathways by small molecule inhibition of key recombination enzymes, RecA and EndA, would impact the DNA repair, SOS mutagenesis and recombination-based horizontal gene transfer activities of these enzymes and hinder the acquisition of antibiotic resistance. Bacteria having loss-of- function mutations in the recA gene are more sensitive to antibiotic treatment and develop resistance more slowly or not at all. In addition, endA-null strains of S. pneumoniae have diminished transformation efficiencies and are unable to acquire resistance-conferring DNA. Therefore, we believe chemotherapeutic agents that impart these bacterial phenotypes could act synergistically with currently prescribed antibiotics ii to prevent the accumulation of populations that are resistant to them. Towards this goal, we sought to identify properly designed inhibitors of RecA and EndA. High-throughput screening (HTS) is recognized as a powerful tool in drug discovery to identify target- specific lead compounds. We developed rational high-throughput screening programs to discover small-molecule inhibitors of RecA and EndA. Through these studies, we have identified novel chemical classes that specifically target RecA or EndA and demonstrate that these enzymes hold potential as novel targets in the treatment of bacterial infections. iii Acknowledgements I am grateful for the opportunity I have had to pursue my doctorate degree at the University of North Carolina and want to thank those who been instrumental in my time here. First, I thank my advisor, Dr. Scott Singleton, for his support and guidance throughout my graduate career. Scott has taught me more than I realize and in particular how to be a careful and critical scientist. His combination of intellect, professionalism, and kindness is incredible. I especially appreciate his willingness to let me explore areas of interest to me. I cannot remember a time he said “no” to any of my ideas, including attending a conference in Brazil! I extend thanks to the members of my thesis committee, Dr. Ann Erickson, Dr. Miriam Braunstein, Dr. Charlie Carter and Dr. Ed Collins. Their thoughtful suggestions and wise advice were instrumental to my progress in graduate school. More thanks go out to important collaborators and scientific mentors at the Center for Integrative Chemical Biology and Drug Discovery, Dr. Dmitri Kireev and Bill Janzen. Their knowledge and expertise were an amazing resource during my training. I have enjoyed the company of past and present members of the Singleton research group and several deserve special mention for their help and friendship: Dr. Anna Gromova, Dr. Justin Richards, Dr. John Bauman, Dr. Mike Jones, Dr. Lisa Heimbach, Morgan Chapman and Demet Guntas. I was very fortunate to make some great friends while in graduate school and wish iv them every success and happiness in the future. To Blaire Steinwand, thank you for sharing this journey with me. It is difficult to imagine graduate school without the laughs, tears, and bicycle rides we shared together. Above all, I would like to thank my wonderful family for their love and support throughout graduate school and my entire life. My parents, Jane and Paul, and my sisters, Amy and Carrie, are all amazing people and remind me what is important in life. I would finally like to acknowledge Nick Fey, Jeff Dunfee and my favorite little people, Ana, Eloise, Oscar and Matilda Dunfee. v Preface Parts of this work were done in collaboration with other talented scientists. Chapter 2 represents work done in collaboration with the Center for Integrative Chemical Biology and Drug Discovery at the University of North Carolina. I am the lead author on the paper and with the help of Dr. Scott Singleton, I designed and performed all experiments and contributed to a majority of the writing. William Janzen provided valuable guidance during RecA Transcreener assay optimization and Dr. Dmitri Kireev assisted with analysis and clustering of active compounds. The paper was published previous to writing this dissertation with the following citation: Peterson EJ, Janzen WP, Kireev D, Singleton SF. High-throughput screening for RecA inhibitors using a transcreener adenosine 5'-O- diphosphate assay. Assay Drug Dev Technol. 2012. Jun;10(3):260-8). Permission to include the article in its entirety in a PhD dissertation was retained from Mary Ann Liebert, Inc (publisher of Assay Drug Dev Technol). Chapter 3 represents an unpublished analysis of RecA HTS data performed primarily by myself. Other members of the Singleton lab contributed to producing the data used in the analysis. Morgan Chapman performed most of the SOS induction experiments and Demet Guntas produced the majority of antibiotic potentiation data. Dr. John Bauman, a former member of the lab, also assisted in producing some data as well. Chapter 4 also presents unpublished data performed primarily by myself. Some of the thermal denaturation studies were performed in the lab of Prof. Dev Arya at vi Clemson University. I received guidance from Dr. Nichola Garbett and Prof. Jonathan Chaires at University of Louisville in developing the competition dialysis assays. I also received valuable assistance from Victoria Madden, a research analyst at UNC’s Microscopy Services Laboratory, with imaging using Transmission Electron Microscopy Finally, Chapter 5 represents a publication for which I was sole first author. We again collaborated with CICBDD and authors WPJ and DK provided the same assistance as previous (Chapter 2). Dr. Marika Midon and Dr. Alfred Pingoud provided guidance with the EndA plasmid conversion assay and characterizing the EndA variants. Andrea Moon and Dr. Lars Pedersen purified the EndA (H160G) protein that was used in all assays for EndA activity. With Dr. Singleton’s help, I designed the experiments, executed them, and then wrote the paper. The paper was published previous to writing this thesis with the following citation: Peterson EJ, Kireev D, Moon AF, Midon M, Janzen WP, Pingoud A, Pedersen LC, Singleton SF. Inhibitors of Streptococcus pneumoniae surface endonuclease EndA discovered by high-throughput screening using a PicoGreen fluorescence assay. J Biomol Screen. 2013 Mar;18(3):247-57. Permission to include the article in its entirety in a PhD dissertation was retained from Sage publications (publisher of JBS). Additional EndA screening of 960 compounds from an EndA-focused set assembled by virtual screening methods was also performed but not included in Chapter 5. These results are in preparation for submission to the Journal of Medicinal Chemistry. Dr. Dmitri Kireev designed and performed all the virtual screening approaches. My contributions to the work included all design and execution of EndA activity assays. Dr. Dmitri Kireev, co-first author on the paper, has given permission for me to include this work in my dissertation as Appendix I. vii Table of Contents List of Figures .................................................................................................................... xi List of Tables ................................................................................................................... xiv List of Abbreviation .......................................................................................................... xv Chapter 1 ............................................................................................................................. 1 1.1. Challenges of antibacterial discovery .................................................................................. 1 1.2. A revised model for accelerated evolution of antibiotic resistance...................................... 3 1.3. The role of recombination enzymes in accelerated evolution of antibiotic resistance ..................................................................................................................................... 5 1.3.1. Induction of the SOS response and competence for transformation by antibiotics ...... 6 1.3.2. RecA and the SOS response ......................................................................................... 9 1.3.3. EndA and competence for transformation .................................................................. 10 1.4. Other roles of RecA and EndA in bacterial pathogenicity ................................................. 12 1.4.1. RecA ........................................................................................................................... 12 1.4.2. EndA ........................................................................................................................... 12 1.5. Intervening in accelerated evolution by small molecule inhibition of recombination enzymes............................................................................................................. 14 1.6. Our strategy to develop small molecule inhibitors of recombination enzymes ................. 16 Chapter 2 ........................................................................................................................... 20 2.1. Introduction ........................................................................................................................ 20 2.2. Assay development and optimization ................................................................................ 23 2.3. Screen design and pilot study of LOPAC library ............................................................... 26 2.4. Screening 113,477 compounds for RecA inhibition .......................................................... 29 2.5. Follow-up evaluation of select inhibitors ........................................................................... 33 viii 2.6. Conclusions ........................................................................................................................ 34 2.7. Materials and Methods ....................................................................................................... 36 Chapter 3 ........................................................................................................................... 43 3.1. Introduction ........................................................................................................................ 43 3.2. Evaluation of compound attrition in hit generation stage .................................................. 44 3.3. Relationship between enzyme inhibition and in vitro bacterial activity ............................ 48 3.3.1 Antibiotic potentiation ................................................................................................. 48 3.3.2 Inhibition of SOS activation ........................................................................................ 52 3.4. Identification of prospective compounds for follow-up as “hits” for RecA inhibition ................................................................................................................................... 56 3.5. Conclusion ......................................................................................................................... 58 3.6. Materials and Methods ....................................................................................................... 59 Chapter 4 ........................................................................................................................... 62 4.1. Introduction ........................................................................................................................ 62 4.2. Structural modifications aimed at selective inhibition of RecA ........................................ 63 4.3. Investigating DNA binding by styrylquinazolines and progenitor compounds using thermal denaturation ........................................................................................................ 68 4.4. Evaluation of direct ligand DNA interactions using competition dialysis ......................... 72 4.5. Evaluation of small molecule colloidal aggregate formation ............................................. 76 4.6. Conclusions ........................................................................................................................ 81 4.7. Materials and methods ....................................................................................................... 82 Chapter 5 ........................................................................................................................... 86 5.1. Introduction ........................................................................................................................ 86 5.2. Assay development and validation..................................................................................... 89 5.3. Pilot screen of LOPAC library ........................................................................................... 97 5.4. Kinase focus set screening ............................................................................................... 100 5.5. Biochemical characterization of confirmed actives ......................................................... 104 ix 5.6. Conclusions ...................................................................................................................... 108 5.7. Materials and methods ..................................................................................................... 110 Chapter 6 ......................................................................................................................... 116 Appendix A ..................................................................................................................... 120 A.1. Introduction ..................................................................................................................... 120 A.2. Multiple virtual screening approaches ............................................................................ 122 A.3. Ad hoc substructure and pharmacophore search ............................................................. 124 A.4. Similarity search and Naïve Bayes learning ................................................................... 126 A.5. Structure-base screening ................................................................................................. 129 A.6. Hit analysis ...................................................................................................................... 130 A.7. Conclusions ..................................................................................................................... 134 A.8. Materials and methods .................................................................................................... 134 References ....................................................................................................................... 140 x

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function mutations in the recA gene are more sensitive to antibiotic treatment and develop resistance tears, and bicycle rides we shared together. Above all, I Morgan Chapman performed most of the SOS induction experiments
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