Abstract View

Author(s): S. Sathya1, Karthiga. D2, Lokesh. S3, Sabari Manikandan4, V. R. Rajeswari5

Email(s): 1sellasathya@gmail.com

Address:

    Vivekanandha Pharmacy College for Women, Sankagiri

Published In:   Volume - 4,      Issue - 1,     Year - 2025

DOI: https://doi.org/10.71431/IJRPAS.2025.4105  

 View HTML        View PDF

Please allow Pop-Up for this website to view PDF file.

ABSTRACT:
Natural products have been instrumental in shaping modern medicine, offering a plethora of bioactive compounds used as pharmaceuticals. Despite their immense potential, the traditional approaches to natural product research are often labor-intensive and time-consuming. Artificial Intelligence (AI) has emerged as a transformative tool in this domain, enabling efficient analysis, prediction, and discovery of natural products. This manuscript explores the intersection of natural products and AI, detailing its applications in drug discovery, challenges, and future prospects. By integrating AI, researchers can overcome the limitations of conventional methodologies, unlocking new opportunities for innovation in healthcare and pharmaceuticals.

Cite this article:
S. Sathya, Karthiga. D, Lokesh. S, Sabari Manikandan, V. R. Rajeswari. Natural Products with Artificial Intelligence: A Revolution in Drug Discovery. IJRPAS, Nov-Dec 2024; 3(6): 45-62.DOI: https://doi.org/https://doi.org/10.71431/IJRPAS.2025.4105


1.        Newman DJ, Cragg GM. Natural products as sources of new drugs over the last 25 years. J Nat Prod. 2007;70(3):461-77.

2.        Atanasov AG, Waltenberger B, Pferschy-Wenzig EM, et al. Discovery and resupply of pharmacologically active plant-derived natural products: A review. Biotechnol Adv. 2015;33(8):1582-614.

3.        Harvey AL, Edrada-Ebel R, Quinn RJ. The re-emergence of natural products for drug discovery in the genomics era. Nat Rev Drug Discov. 2015;14(2):111-29.

4.        Dias DA, Urban S, Roessner U. A historical overview of natural products in drug discovery. Metabolites. 2012;2(2):303-36.

5.        Butler MS. Natural products to drugs: Natural product-derived compounds in clinical trials. Nat Prod Rep. 2008;25(3):475-516.

6.        Jain S, Sharma A, Gupta PK, Vyas SP. Artificial intelligence in natural products research. Phytomedicine. 2018;48:1-11.

7.        Li JWH, Vederas JC. Drug discovery and natural products: End of an era or an endless frontier? Science. 2009;325(5937):161-5.

8.        Jensen KJ, Hansen HS. Machine learning for natural products discovery. Chem Rev. 2021;121(6):3565-612.

9.        Kim J, Im S, Kim S, Kang D. AI-enabled virtual screening and optimization for natural product drug discovery. J Chem Inf Model. 2020;60(7):3173-81.

10.    Rodrigues T, Reker D, Schneider P, Schneider G. Counting on natural products for drug design. Nat Chem. 2016;8(6):531-41.

11.    Zhang M, Ma J, Wu D, et al. Machine learning for natural product discovery: Approaches and limitations. Drug Discov Today. 2021;26(4):1090-1100.

12.    Reker D, Schneider G. Active learning for optimizing natural product screening. J Med Chem. 2015;58(18):7698-705.

13.    Shen B. A new golden age of natural products drug discovery. Cell. 2015;163(6):1297-300.

14.    Challis GL, Hopwood DA. Synergy and contingency as driving forces for the evolution of multiple secondary metabolite production by Streptomyces species. Proc Natl Acad Sci USA. 2003;100 Suppl 2:14555-61.

15.    Harvey AL. Natural products in drug discovery. Drug Discov Today. 2008;13(19-20):894-901.

16.    Corre C, Challis GL. New natural product biosynthetic routes revealed by genomic analysis. Nat Prod Rep. 2009;26(8):977-86.

17.    Schwaller P, Gaudin T, Lányi D, et al. Molecular transformer: A model for uncertainty-calibrated chemical reaction prediction. ACS Cent Sci. 2019;5(9):1572-83.

18.    Van Lanen SG, Shen B. Microbial genomics for the improvement of natural product discovery. Curr Opin Microbiol. 2006;9(3):252-60.

19.    Koyama N, Wang Z, Wang M, et al. Genomics-driven discovery of natural products. Chem Rev. 2020;120(12):5879-606.

20.    Lewis K. Platforms for antibiotic discovery. Nat Rev Drug Discov. 2013;12(5):371-87.

21.    Frantz S. Drug discovery: Playing dirty. Nature. 2005;437(7061):942-3.

22.    Patwardhan B, Vaidya ADB, Chorghade M. Ayurveda and natural products drug discovery. Curr Sci. 2004;86(6):789-99.

23.    Alamgir ANM, Uddin SJ. Recent advances in the development of biosynthetic engineering tools for natural products. Appl Microbiol Biotechnol. 2019;103(21-22):8443-52.

24.    Winter G, Fields S. Advances in biosynthetic pathway analysis using computational tools. Trends Biotechnol. 2007;25(9):437-43.

25.    Feher M, Schmidt JM. Property distributions: Differences between drugs, natural products, and molecules from combinatorial chemistry. J Chem Inf Comput Sci. 2003;43(1):218-27.

Related Images:



Recent Images



Formulation, Development & Evaluation of Drug Extended Release Tablet of Losartan Potassium Immediate Release Tablet of Valsartan
Stability-Indicating RP-HPLC Method for Determination of Empagliflozin using AQbD Approach
Retrospective Study of Rhino-Orbital Mucormycosis and its Management in a Tertiary Care Centre
Antimicrobial Potential of Allium sativum in the Era of Antibiotic Resistance: Gaps and Future Perspectives
Schiff Base: A Versatile Molecule
Dragon Fruit (Hylocereus undatus)Peel: Powerful Source of Nutrition and Health
Review of Analytical Method for Quality Assurance and Estimation of Antidiabetic drugs in Pharmaceutical Formulation
Digital Twin Framework for Modeling the Aqueous Degradation of Allicin and Its Nanocomplexes: Integrating DFT Thermodynamics, Molecular Dynamics Surrogate, and Experimental Validation
The Shifting Landscape of Female Infertility in India: A Comprehensive Review of Epidemiological Trends, Emerging Etiologies, and Clinical Interventions
Fabrication and Evaluation of Polyherbal Handwash Utilizing Tulsi (Ocimum sanctum), Bhringraj (Eclipta alba) and Harad (Terminalia chebula)

Tags