[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117285-en":3,"doc-seo-117285-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},117285,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Machine Learning Meets and Enhances Protein Engineering - Dissertation","Machine learning is applied to protein engineering to design proteins with novel and enhanced functions. The research is motivated by leveraging the predictive power of machine learning to improve how proteins are engineered, bridging two domains of artificial intelligence and biological modeling. The work presents an approach that uses data-driven learning to better understand protein behavior and to support the engineering of biological “dancers” that orchestrate biological processes with precision and grace.","Copyright by  \nChengyue Gong 2024  \n1  \nThe Dissertation Committee for Chengyue Gong certifies that this is the approved version of the following dissertation:  \nMachine Learning Meets and Enhances Protein Engineering  \nCommittee:  \nQiang Liu, Supervisor Adam Klivans Qixing Huang Mingyuan Zhou  \nMachine Learning Meets and Enhances Protein Engineering  \nby  \nChengyue Gong  \nDissertation  \nPresented to the Faculty of the Graduate School of The University of Texas at Austin  \nin Partial Fulfillment  \nof the Requirements  \nfor the Degree of  \nDoctor of Philosophy  \nThe University of Texas at Austin August 2024  \nDedication  \nI would like to express my deepest gratitude to those who have supported and guided me throughout the course of my research and thesis writing.  \nFirst, this thesis is dedicated to my family, whose unwavering support and encouragement have been my foundation throughout this journey. To my parents, thank you for your endless sacrifices and for always believing in my dreams. Your guidance and love have been my constant source of inspiration.  \n‘Grandparents are a delightful blend of laughter, caring deeds, wonderful stories and love.’ I dedicate this thesis to my beloved grandparents, whose wisdom and love have been a guiding light throughout my life. My childhood was spent under their nurturing care, and it is to them that I owe much of who I am today. In theserene mornings and tranquil evenings spent walking by the riverside, they imparted invaluable life lessons and knowledge to me. Their stories and teachings have been my earliest compass, steering me on the path of life. To my maternal grandmother and grandfather, this thesis is dedicated to both of you, whose love and wisdom have been cornerstones in my life. From the earliest days of my childhood, your nurturing presence has shaped me in profound ways. The countless moments spent in your company, whether in quiet reflection or joyful celebration, have instilled in me the values of perseverance, kindness, and integrity. To my uncle and aunt, thanks for your help during my travel, I’m so overwhelmed for you that I can’t find the words to express it. For my cousin, as I look back on our childhood, I am filled with gratitude for the countless memories we created together. From our endless summer adventures to the laughter we shared, those times shaped who I am today. Your companionship and guidance during those formative years were invaluable, and I cherish every moment we spent together. Now, as life has brought new joys, I am thrilled to see you embrace fatherhood. Your daughter is incredibly lucky to have such a wonderful role model in you.  \nTo my high school and undergraduate classmates and teachers, I am deeply grateful for the support and encouragement I received throughout my academic journey. During high school, I was fortunate to have ample time and opportunities to explore various fields of study. This exploration ultimately guided me towards a passion for computer science and machine learning. Your inspiration and guidance played a crucial role in shaping my academic interests and career path. I am thankful for the stimulating environment you provided, which allowed me to discover and pursue my true passions.  \nTo my friends and mentors (Dr Win-bin Huang, Dr. Di He, Dr. Meng Li), thank you for your wisdom, patience, and invaluable advice. Your belief in my abilities has empowered me to reach new heights. I would like to thank my advisor, Dr. Qiang Liu, for his invaluable guidance, encouragement, and insightful feedback. Your expertise and patience have been instrumental in shaping this work. I am also deeply grateful to the members of my thesis committee, Dr. Adam Klivans, Dr. Qixing Huang, and Dr. Mingyuan Zhou, for their constructive criticism and suggestions which greatly improved the quality of this thesis. Special thanks go to my colleagues and friends (e.g., Jun Han, Dilin Wang, Yihao Feng, Ziyang Tang, Daniel Diaz, Mao Ye, Shujian Zhang, Le","cbCaiptJxVz2oLfd","https://ap.wps.com/l/cbCaiptJxVz2oLfd","pdf",55339936,1,180,"English","en",105,"# Dedication\n# Epigraph\n# Acknowledgments\n# Preface","[{\"question\":\"What is the central topic of the dissertation?\",\"answer\":\"The dissertation explores how machine learning can be applied to protein engineering to understand and engineer proteins with improved functions.\"},{\"question\":\"Why is machine learning used for protein engineering in this work?\",\"answer\":\"The motivation is to harness machine learning’s predictive power to design proteins with novel and enhanced capabilities.\"},{\"question\":\"What does the preface say about the purpose of the document?\",\"answer\":\"It frames the document as the result of significant time and effort and invites readers to enjoy and engage with the research content.\"}]",1785675008,454,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":27},"machine-learning-meets-and-enhances-protein-engineering-dissertation","",{"@graph":35,"@context":84},[36,53,67],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/machine-learning-meets-and-enhances-protein-engineering-dissertation/117285/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"What is the central topic of the dissertation?","Question",{"text":74,"@type":75},"The dissertation explores how machine learning can be applied to protein engineering to understand and engineer proteins with improved functions.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"Why is machine learning used for protein engineering in this work?",{"text":79,"@type":75},"The motivation is to harness machine learning’s predictive power to design proteins with novel and enhanced capabilities.",{"name":81,"@type":72,"acceptedAnswer":82},"What does the preface say about the purpose of the document?",{"text":83,"@type":75},"It frames the document as the result of significant time and effort and invites readers to enjoy and engage with the research content.","https://schema.org",{"og:url":51,"og:type":86,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":88,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":91},[92,96,100,104,109,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":93,"show_sort_weight":94,"slug":95},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":97,"show_sort_weight":98,"slug":99},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":101,"show_sort_weight":102,"slug":103},"Exam",70,"exam",{"id":105,"doc_module":4,"doc_module_name":45,"category_name":106,"show_sort_weight":107,"slug":108},5,"Comic",60,"comic",{"id":110,"doc_module":4,"doc_module_name":45,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":45,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":45,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":45,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":45,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":45,"category_name":136,"show_sort_weight":105,"slug":137},19,"General","general"]