Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches

• Hoofdauteurs: Linda Erlina (Auteur), Rafika Indah Paramita (Auteur), Wisnu Ananta Kusuma (Auteur), Fadilah Fadilah (Auteur), Aryo Tedjo (Auteur), Irandi Putra Pratomo (Auteur), Nabila Sekar Ramadhanti (Auteur), Ahmad Kamal Nasution (Auteur), Fadhlal Khaliq Surado (Auteur), Aries Fitriawan (Auteur), Khaerunissa Anbar Istiadi (Auteur), Arry Yanuar (Auteur)
• Formaat: Boek
• Gepubliceerd in: BMC, 2022-08-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Abstract Background The number of COVID-19 cases continues to grow in Indonesia. This phenomenon motivates researchers to find alternative drugs that function for prevention or treatment. Due to the rich biodiversity of Indonesian medicinal plants, one alternative is to examine the potential of herb...