Natural Products in Modern Drug Discovery: Challenges, Advances, And Emerging Opportunities

Natural products have long been a vital source of therapeutic agents, with many current drugs derived from compounds found in plants, microbes, and marine organisms. As drug discovery enters a new era, the potential of natural products remains significant, offering unique chemical structures and biological activities. This abstract explores the challenges, recent advances, and emerging opportunities in leveraging natural products for modern drug discovery. Key challenges include the complexity of natural product structures, difficulties in scalable production, and issues related to bioavailability and toxicity. However, significant progress has been made through advanced technologies such as high-throughput screening, genome mining, and synthetic biology, which facilitate the discovery and development of novel bioactive compounds. Additionally, innovations in computational modelling and artificial intelligence are enhancing the identification of potential drug candidates by predicting their pharmacokinetics and therapeutic efficacy. The integration of natural products with modern drug delivery systems, as well as their synergy with synthetic and biologic drugs, offers exciting opportunities for novel therapeutic strategies. Furthermore, as antimicrobial resistance continues to rise, natural products are being explored as a promising solution to combat resistant pathogens. This abstract highlight the expanding role of natural products in addressing unmet medical needs, emphasizing the importance of interdisciplinary collaboration and sustainable sourcing practices for future drug discovery.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-15
DOI
https://doi.org/10.5281/zenodo.14652292
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Natural Products in Modern Drug Discovery: Challenges, Advances, And Emerging Opportunities

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Natural Products in Modern Drug Discovery: Challenges, Advances, And Emerging Opportunities

article en

Abstract

Natural products have long been a vital source of therapeutic agents, with many current drugs derived from compounds found in plants, microbes, and marine organisms. As drug discovery enters a new era, the potential of natural products remains significant, offering unique chemical structures and biological activities. This abstract explores the challenges, recent advances, and emerging opportunities in leveraging natural products for modern drug discovery. Key challenges include the complexity of natural product structures, difficulties in scalable production, and issues related to bioavailability and toxicity. However, significant progress has been made through advanced technologies such as high-throughput screening, genome mining, and synthetic biology, which facilitate the discovery and development of novel bioactive compounds. Additionally, innovations in computational modelling and artificial intelligence are enhancing the identification of potential drug candidates by predicting their pharmacokinetics and therapeutic efficacy. The integration of natural products with modern drug delivery systems, as well as their synergy with synthetic and biologic drugs, offers exciting opportunities for novel therapeutic strategies. Furthermore, as antimicrobial resistance continues to rise, natural products are being explored as a promising solution to combat resistant pathogens. This abstract highlight the expanding role of natural products in addressing unmet medical needs, emphasizing the importance of interdisciplinary collaboration and sustainable sourcing practices for future drug discovery.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 50%
Computational Drug Discovery Methods
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