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

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...

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Hlavní autor: Diéguez Santana, Karel (author)
Další autoři: González Díaz, Humberto (author)
Médium: article
Vydáno: 2023
Témata:
Antibacterial agents
Antibiotic resistance
Bibliometric analysis
Computer model in drug design
Machine learning
Network analysis
On-line přístup:https://doi.org/10.1016/j.compbiomed.2023.106638
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/648
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https://doi.org/10.1016/j.compbiomed.2023.106638
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/648

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