[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123815-en":3,"doc-seo-123815-105":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},123815,4810365810221,"Aurora","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","In-silico prediction of anti-breast cancer activity of ginger (Zingiber officinale) using machine learning techniques","Traditional medicine widely uses medicinal plants, yet uncertainty remains about the safety and anticancer efficacy of specific compounds. This study applies machine learning using Dudedocking data to predict ginger-derived breast anticancer candidates, focusing on molecules likely to inhibit KIT and MAPK2 proteins central to breast cancer. Molecular docking results highlight several superior candidates for MAPK2 binding while also evaluating toxicity and Lipinski rule compliance, including trade-offs between predicted potency and safety. The work supports machine learning’s role in guiding drug development from natural products.","Breast Disease 43 (2024) 99–110 99  \nDOI 10.3233/BD-249002 IOS Press  \nIn-silico prediction of anti-breast cancer activity of ginger (Zingiber officinale) using machine learning techniques  \nMarisca Evalina Gondokesumoa and Muhammad Rezki Rasyakb , c , ∗ aFaculty of Pharmacy, University of Surabaya, Surabaya, Indonesia ORCID: [https://orcid.org/0009-0004-9774-4467](https://orcid.org/0009-0004-9774-4467)  \nbEijkman Research Centre for Molecular Biology, National Research, and Innovation Agency, Jakarta, Indonesia ORCID: [https://orcid.org/0000-0002-4016-4072](https://orcid.org/0000-0002-4016-4072)  \nc Graduate School, Hasanuddin University, Makassar, Indonesia  \nAbstract.  \nINTRODUCTION: Indonesian civilization extensively uses traditional medicine to cure illnesses and preserve health. The lack of knowledge on the security and efficacy of medicinal plants is still a significant concern. Although the precise chemicals responsible for this impact are unknown, ginger is a common medicinal plant in Southeast Asia that may have anticancer qualities. METHOD: Using data from Dudedocking, a machine-learning model was created to predict possible breast anticancer chemicals from ginger. The model was used to forecast substances that block KIT and MAPK2 proteins, essential elements in breast cancer.  \n′  \nRESULT: Beta-carotene, 5-Hydroxy-74-dimethoxyflavone, [12]-Shogaol, Isogingerenone B, curcumin, Trans-[10]-Shogaol, Gingerenone A, Dihydrocurcumin, and demethoxycurcumin were all superior to the reference ligand for MAPK2, according to molecular docking studies. Lycopene, [8]-Shogaol, [6]-Shogaol, and [1]-Paradol exhibited low toxicity and no Lipinski violations, but beta carotene had toxic predictions and Lipinski violations. It was anticipated that all three substances would have anticarcinogenic qualities.  \nCONCLUSION: Overall, this study shows the value of machine learning in drug development and offers insightful information on possible anticancer chemicals from ginger.  \nKeywords: Molecular docking, machine learning, KIT, MAPK2  \n1. Introduction  \nHuman life has long been a concern for public health issues. Traditional medicine consumption is still common across several ASEAN nations and other countries, such as Japan, Korea, and China [1,2] . For generations, Indonesian society has relied on traditional  \n*  \nCorresponding author: Muhammad Rezki Rasyak, Eijkman Research Centre for Molecular Biology, National Research and Innovation Agency, Jakarta, Indonesia and Cisehat Park Residence, Blok A, No.6, Sirnagalih, Tamansari, 16611, Kab. Bogor, Jawa barat, Indonesia. Tel.: +62 85882394737; E-mail: [rezkirasyak@gmail.com](rezkirasyak@gmail.com).  \nherbal medicines to treat illness and maintain wellness. The generic name for this herbal remedy is jamu [3] . However, herbal medicine treatment still needs to be improved due to inadequate efficacy monitoring and a need for more information about the effectiveness of diverse medicinal plants [4] .  \nSoutheast Asian-born ginger is a traditional medicine frequently found in meals and beverages. Ginger is a traditional herbal antioxidant and anti-inflammatory medicine [5] . Ginger has anticancer effects and antioxidant and anti-inflammatory properties, as reported in several publications. These publications include those on gastrointestinal cancer [6], pancreatic cancer [7],  \n0888-6008 © 2024 – The authors. Published by IOS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4 .0) .  \n100 M.E. Gondokesumo and M.R. Rasyak / In-silico anti-cancer potential of ginger  \nand anti-cancer activity against human breast cancer cell lines when ginger extract is combined with turmeric and garlic [8] . Clinical research and animal models have shown that ginger and its contents effectively prevent and treat disease. However, the exact molecules that give ginger its anticancer properties remain unknown. One substance that maybe anticance","cbCaipgNN3nboJ7n","https://ap.wps.com/l/cbCaipgNN3nboJ7n","pdf",794735,1,12,"English","en",105,"# Abstract\n# Introduction\n# Method\n# Results\n# Conclusion","[{\"question\":\"What is the main goal of the study on ginger?\",\"answer\":\"To use machine learning and molecular docking to identify potential compounds from ginger with anti-breast cancer activity by targeting KIT and MAPK2 proteins.\"},{\"question\":\"Which data source and modeling approach were used?\",\"answer\":\"The study used Dudedocking data to build a machine-learning model that predicts possible breast anticancer chemicals from ginger.\"},{\"question\":\"Which compounds showed stronger predicted performance and how was safety assessed?\",\"answer\":\"Beta-carotene, several flavone and shogaol-related compounds, and other ginger constituents were highlighted as superior for MAPK2 binding in docking studies. Toxicity and Lipinski rule violations were also considered, with some compounds showing low toxicity and no violations while others had predicted toxicity and violations.\"}]","In-silico prediction of anti-breast cancer activity of ginger (Zingiber officinale) using machine learning techniques | PDF",1785818691,30,{"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},"in-silico-prediction-of-anti-breast-cancer-activity-of-ginger-zingiber-officinale-using-machine-learning-techniques","",{"@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/in-silico-prediction-of-anti-breast-cancer-activity-of-ginger-zingiber-officinale-using-machine-learning-techniques/123815/",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","2026-08-04",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},"What is the main goal of the study on ginger?","Question",{"text":75,"@type":76},"To use machine learning and molecular docking to identify potential compounds from ginger with anti-breast cancer activity by targeting KIT and MAPK2 proteins.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which data source and modeling approach were used?",{"text":80,"@type":76},"The study used Dudedocking data to build a machine-learning model that predicts possible breast anticancer chemicals from ginger.",{"name":82,"@type":73,"acceptedAnswer":83},"Which compounds showed stronger predicted performance and how was safety assessed?",{"text":84,"@type":76},"Beta-carotene, several flavone and shogaol-related compounds, and other ginger constituents were highlighted as superior for MAPK2 binding in docking studies. Toxicity and Lipinski rule violations were also considered, with some compounds showing low toxicity and no violations while others had predicted toxicity and violations.","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},[93,97,101,105,110,115,120,122,127,130,134],{"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":29,"slug":121},"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]