Screening of Potential Indonesia Herbal Compounds Based on Multi-Label Classification for 2019 Coronavirus Disease

• Published in: Big data and cognitive computing Vol. 5; no. 4; p. 75
• Main Authors: Fadli, Aulia, Kusuma, Wisnu Ananta, Annisa, Batubara, Irmanida, Heryanto, Rudi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2021
• Subjects: Accuracy; Algorithms; Artificial neural networks; Classification; coronavirus disease 2019; Coronaviruses; COVID-19; Datasets; Daylight; drug repurposing; drug-target interaction; Drugs; Feature extraction; Fingerprints; health; Infectious diseases; Kinases; Machine learning; multilabel classification; Neural networks; Pandemics; Predictions; Proteins; R&D; Research & development; Severe acute respiratory syndrome coronavirus 2; stack autoencoder-deep neural network; Viral diseases; Indonesia

Coronavirus disease 2019 pandemic spreads rapidly and requires an acceleration in the process of drug discovery. Drug repurposing can help accelerate the drug discovery process by identifying new efficacy for approved drugs, and it is considered an efficient and economical approach. Research in drug...