Machine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends

Machine learning (ML) methods are used in cheminformatics processes to predict the activity of an unknown drug and thus discover new potential antibacterial drugs. This article conducts a bibliometric study to analyse the contributions of leading authors, universities/organisations and countries in...

• Главный автор: Diéguez Santana, Karel (author)
• Другие авторы: González Díaz, Humberto (author)
• Формат: article
• Опубликовано: 2023
• Предметы: Antibacterial agents; Antibiotic resistance; Bibliometric analysis; Computer model in drug design; Machine learning; Network analysis
• Online-ссылка: https://doi.org/10.1016/j.compbiomed.2023.106638; http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/648