[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124820-en":3,"doc-seo-124820-105":30,"detail-sidebar-cat-0-en-105":91},{"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":27,"seo_description":14,"update_tm":28,"read_time":29},124820,4810365810221,"Aurora","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Predictive modeling for ubiquitin proteins through advanced machine learning technique - read online free","Ubiquitination is a key post-translational modification where ubiquitin binds to substrate proteins, shaping cell survival, differentiation, and innate/adaptive immunity. Dysregulation of the ubiquitin system contributes to multiple human diseases, while the reversibility and dynamic nature makes experimental site identification challenging. The study builds a machine-learning model to improve ubiquitin protein prediction via feature extraction and classification. Performance is assessed with Jackknife tests and 10-fold cross-validation.","Central Lancashire Online Knowledge (CLoK)  \n\n| Title | Predictive modeling for ubiquitin proteins through advanced machine learning technique |\n| --- | --- |\n| Type | Article |\n| URL | [https://clok.uclan.ac.uk/51776/](https://clok.uclan.ac.uk/51776/) |\n| DOI | \\#\\#doi\\#\\# |\n| Date | 2024 |\n| Citation | Shazia, Ullah, Fath U min orcid iconORCID: 0000-0002-1243-9358, Rho, Seungmin and Lee, Mi Young (2024) Predictive modeling for ubiquitin proteins through advanced machine learning technique. Heliyon, 10 (12) . e32517 . ISSN 2405-8440 |\n| Creators | Shazia, Ullah, Fath U min, Rho, Seungmin and Lee, Mi Young |\n\nIt is advisable to refer to the publisher’s version if you intend to cite from the work. \\#\\#doi\\#\\# For information about Research at UCLan please go to [http://www.uclan.ac. uk/research/](http://www.uclan.ac. uk/research/)  \n[All outputs in CLoK are protected by Intellectual Property Rights law](All outputs in CLoK are protected by Intellectual Property Rights law), including Copyright law. Copyright, IPR and Moral Rights for the works on this site are retained by the individual authors and/or other copyright owners. Terms and conditions for use of this material are defined in the  \n[http://clok.uclan.ac.uk/policies/](http://clok.uclan.ac.uk/policies/)  \nHeliyon 10 (2024) e32517  \nContents lists available at ScienceDirect  \nHeliyon  \njournal [homepage:](homepage: www.cell.com/heliyon)[ www.cell.com/heliyon](homepage: www.cell.com/heliyon)  \n| Research article\u003Cbr>Predictive modeling for ubiquitin proteins through advanced machine learning technique\u003Cbr>Shaziaa, ✝, Fath U Min Ullahb, ✝, Seungmin Rhoc, Mi Young Lee d, *\u003Cbr>a Mardan College of Nursing, Bacha Khan Medical College, Mardan, Pakistan\u003Cbr>b Deparment of Computing, School of Engineering and Computing, University of Central Lancashire, Preston, United Kingdom c Department of Industrial Security, Chung-Ang University, Seoul 06974, Republic of Korea\u003Cbr>d Chung-Ang University, Seoul 06974, Republic of Korea |  |  |\n| --- | --- | --- |\n| A R T I C L E I N F O |  | A B S T R A C T |\n| Keywords:\u003Cbr>Machine learning\u003Cbr>Predictive modeling\u003Cbr>Post-translational modification (PTM) Ubiquitin-protein\u003Cbr>Biological computation |  | Ubiquitination is an essential post-translational modification mechanism involving the ubiquitin protein’s bonding to a substrate protein. It is crucial in a variety of physiological activities including cell survival and differentiation, and innate and adaptive immunity. Any alteration in the ubiquitin system leads to the development of various human diseases. Numerous researches show the highly reversibility and dynamic of ubiquitin system, making the experimental identification quite difficult. To solve this issue, this article develops a model using a machine learning approach, tending to improve the ubiquitin protein prediction precisely. We deeply investigate the ubiquitination data that is proceed through different features extraction methods, followed by the classification. The evaluation and assessment are conducted considering Jackknife tests and 10-fold cross-validation. The proposed method demonstrated the remarkable performance in terms of 100 %, 99.88 %, and 99.84 % accuracy on Dataset-I, Dataset-II, and Dataset-III, respectively. Using Jackknife test, the method achieves 100 %, 99.91 %, and 99.99 % for Dataset-I, Dataset-II and Dataset-III, respectively. This analysis concludes that the proposed method outperformed the state-of-the-arts to identify the ubiquitination sites and helpful in the development of current clinical therapies. The source code and datasets will be made available at Github. |\n\n1. Introduction  \nProtein synthesis takes place during the ’translation’ process. Protein post-translational modification (PTM), one of the final phases of protein biosynthesis, relates to the irreversible as well as reversible chemical modifications which proteins may experience after translation. It involves in a broad range of physiologic","cbCairSPOjkfYfEg","https://ap.wps.com/l/cbCairSPOjkfYfEg","pdf",1427700,1,11,"English","en",105,"# Abstract\n# Introduction\n## Background on PTMs and disease relevance\n## Role and mechanism of ubiquitination","[{\"question\":\"Why is predicting ubiquitination sites difficult experimentally?\",\"answer\":\"The ubiquitin system is highly reversible and dynamic, which complicates experimental identification of ubiquitination sites.\"},{\"question\":\"What approach does the article use to improve ubiquitin protein prediction?\",\"answer\":\"It develops a machine-learning model, investigating ubiquitination data with multiple feature extraction methods followed by classification.\"},{\"question\":\"How is the model evaluated in the study?\",\"answer\":\"Evaluation uses Jackknife tests and 10-fold cross-validation across multiple datasets.\"}]","Predictive modeling for ubiquitin proteins through advanced machine learning technique - read online free | PDF",1785894829,28,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"predictive-modeling-for-ubiquitin-proteins-through-advanced-machine-learning-technique-read-online-free","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/predictive-modeling-for-ubiquitin-proteins-through-advanced-machine-learning-technique-read-online-free/124820/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is predicting ubiquitination sites difficult experimentally?","Question",{"text":75,"@type":76},"The ubiquitin system is highly reversible and dynamic, which complicates experimental identification of ubiquitination sites.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What approach does the article use to improve ubiquitin protein prediction?",{"text":80,"@type":76},"It develops a machine-learning model, investigating ubiquitination data with multiple feature extraction methods followed by classification.",{"name":82,"@type":73,"acceptedAnswer":83},"How is the model evaluated in the study?",{"text":84,"@type":76},"Evaluation uses Jackknife tests and 10-fold cross-validation across multiple datasets.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]