{"id":10532,"date":"2023-04-19T15:27:16","date_gmt":"2023-04-19T19:27:16","guid":{"rendered":"https:\/\/academicsuccess.ucf.edu\/our\/?post_type=research&#038;p=10532"},"modified":"2023-04-19T15:27:16","modified_gmt":"2023-04-19T19:27:16","slug":"undergraduate-researcher-for-integration-of-molecular-biology-and-machine-learning","status":"publish","type":"research","link":"https:\/\/academicsuccess.ucf.edu\/our\/research\/undergraduate-researcher-for-integration-of-molecular-biology-and-machine-learning\/","title":{"rendered":"Undergraduate Researcher for integration of molecular biology and machine learning"},"content":{"rendered":"<p>For this project, we will be exploring the integration of molecular biology and machine learning with complex analysis relying on quantum computing. To start off, protein folding is an incremental process. Proteins are biological polymers of amino acids, and each have different physiological effects. There are thousands of undiscovered protein structures that discoveries could revolutionize the medical industry and save lives through new drugs. Quantum computing, with its unique capabilities for processing large amounts of information simultaneously and performing complex simulations, has the potential to significantly advance our understanding of protein folding and drug design. For example, quantum computing could be used to simulate the folding pathways of proteins more accurately and efficiently, and to optimize the design of drugs that interact with specific proteins. Through a database of known proteins, we can use A.I to parse through and predict new structures and functions as well. Students from all academic backgrounds are welcome as we will be working closely with all engineering and biology disciplines.<\/p>\n","protected":false},"author":3056,"template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_members_access_role":[],"_members_access_error":""},"researchcategory":[5,8,11,12],"locations":[14],"mentoring":[36],"class_list":["post-10532","research","type-research","status-publish","hentry","researchcategory-cs","researchcategory-hs","researchcategory-ls","researchcategory-ps","locations-om","mentoring-rmp"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Undergraduate Researcher for integration of molecular biology and machine learning - Undergraduate Research<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/academicsuccess.ucf.edu\/our\/research\/undergraduate-researcher-for-integration-of-molecular-biology-and-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Undergraduate Researcher for integration of molecular biology and machine learning - Undergraduate Research\" \/>\n<meta property=\"og:description\" content=\"For this project, we will be exploring the integration of molecular biology and machine learning with complex analysis relying on quantum computing. 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Students from all academic backgrounds are welcome as we will be working closely with all engineering and biology disciplines.","dtl_ugs_our_research_position_num_sdt":"4","dtl_ugs_our_research_position_time":"negotiable","dtl_ugs_our_research_position_sdt_req":"For this project, we will be exploring the integration of molecular biology and machine learning with complex analysis relying on quantum computing. To start off, protein folding is an incremental process. Proteins are biological polymers of amino acids, and each have different physiological effects. There are thousands of undiscovered protein structures that discoveries could revolutionize the medical industry and save lives through new drugs. Quantum computing, with its unique capabilities for processing large amounts of information simultaneously and performing complex simulations, has the potential to significantly advance our understanding of protein folding and drug design. 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