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It presents a bibliometric and network analysis of research trends and hotspots in this field, utilizing Scopus data from 2006 to 2022. A sample of 1506 documents was analyzed to assess the contributions of leading authors, institutions, and countries, as well as to examine bibliometric linkages. The study employed bibliometrix R-Tool and VOSviewer software for the analysis, aiming to identify essential topics related to the application of machine learning in the discovery of new potential antibacterial drugs. The research contributes to understanding the current landscape and future directions in antibacterial drug discovery through advanced computational techniques.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/machine-learning-in-antibacterial-discovery-and-development-a-bibliometric-and-network-analysis-of-research-hotspots-and-trends/119955/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/machine-learning-in-antibacterial-discovery-and-development-a-bibliometric-and-network-analysis-of-research-hotspots-and-trends/119955.png","ImageObject",300,407,{"name":92,"@type":93},"Eliana","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-08-03",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main objective of this research?","Question",{"text":112,"@type":113},"The main objective is to conduct a bibliometric and network analysis of research hotspots and trends in machine learning for antibacterial discovery and development.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What type of data was used in the study?",{"text":117,"@type":113},"The study used a sample of 1506 Scopus documents published between 2006 and 2022.",{"name":119,"@type":110,"acceptedAnswer":120},"Which software was used for the analysis?",{"text":121,"@type":113},"The analysis was performed using the bibliometrix R-Tool and VOSviewer software.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},119955,1785727186,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":81},1099523882182,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Machine learning in antibacterial discovery and development: Abibliometric and network analysis of research hotspots and trends  \nAuthor links open overlay panelKarel DiéguezSantana a b, Humberto Gonzá lez-Díaz b c d","cbCaijs86WmH1NoV","https://ap.wps.com/l/cbCaijs86WmH1NoV","pdf",169117,"English","# Article preview\n## Abstract\n## Introduction\n## Section snippets\n## References (68)","[{\"question\":\"What is the main objective of this research?\",\"answer\":\"The main objective is to conduct a bibliometric and network analysis of research hotspots and trends in machine learning for antibacterial discovery and development.\"},{\"question\":\"What type of data was used in the study?\",\"answer\":\"The study used a sample of 1506 Scopus documents published between 2006 and 2022.\"},{\"question\":\"Which software was used for the analysis?\",\"answer\":\"The analysis was performed using the bibliometrix R-Tool and VOSviewer software.\"}]","Machine learning in antibacterial discovery and development - A bibliometric and network analysis of research hotspots and trends | PDF"]