This article provides a comprehensive overview of CRISPR-Cas technology applied to metabolic engineering for researchers, scientists, and drug development professionals.
This article provides researchers, scientists, and drug development professionals with a detailed, current comparison of the COCONUT (COlleCtion of Open Natural prodUcTs) and SuperNatural II databases.
This article provides a comprehensive guide for researchers on leveraging CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) in natural product research.
This article provides a comprehensive analysis of the Biopharmaceutics Classification System (BCS) applied to natural products.
This comprehensive review for researchers, scientists, and drug development professionals explores the pivotal advances in natural products chemistry in 2025.
This article provides a comprehensive guide for researchers and drug development professionals on implementing AI-guided molecular docking for bioactive natural products.
This article explores the transformative role of artificial intelligence (AI) in the de novo design of natural product-like compounds for drug discovery.
This article provides a comprehensive guide for researchers on the application, development, and validation of artificial intelligence-based scoring functions for docking natural products.
This article provides a comprehensive overview of the transformative role of artificial intelligence (AI) and machine learning (ML) in natural product drug discovery.
This article provides a comprehensive analysis of the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in natural product (NP) fragment-based drug discovery (FBDD).