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...

• Main Author: Diéguez Santana, Karel (author)
• Other Authors: González Díaz, Humberto (author)
• Format: article
• Published: 2023
• Subjects: Antibacterial agents; Antibiotic resistance; Bibliometric analysis; Computer model in drug design; Machine learning; Network analysis
• Online Access: https://doi.org/10.1016/j.compbiomed.2023.106638; http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/648