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RETRACTED: Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives
Shri Vile Parle Kelavani Mandal · Drug Discovery Laboratory (Norway) · +1 more institution
Abstract
Drug discovery, a multifaceted process from compound identification to regulatory approval, historically plagued by inefficiencies and time lags due to limited data utilization, now faces urgent demands for accelerated lead compound identification. Innovations in biological data and computational chemistry have spurred a shift from trial-and-error methods to holistic approaches to medicinal chemistry. Computational techniques, particularly artificial intelligence (AI), notably machine learning (ML) and deep learning (DL), have revolutionized drug development, enhancing data analysis and predictive modeling. Natural products (NPs) have long served as rich sources of biologically active compounds, with many…
Citation impact
- FWCI
- 126.16
- Percentile
- 100%
- References
- 174
Authors
2Topics & keywords
- Drug discovery
- Identification (biology)
- Data science
- Artificial intelligence
- Computer science
- Natural product
- Chemistry
- Biochemical engineering
- Zero hunger