The DOI matches its Crossref record; 262 of the 262 references it cites were found in a registry or an index.
Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery
Open accessAbstract
The therapeutic properties of plants have been recognised since time immemorial. Many pathological conditions have been treated using plant-derived medicines. These medicines are used as concoctions or concentrated plant extracts without isolation of active compounds. Modern medicine however, requires the isolation and purification of one or two active compounds. There are however a lot of global health challenges with diseases such as cancer, degenerative diseases, HIV/AIDS and diabetes, of which modern medicine is struggling to provide cures. Many times the isolation of “active compound” has made the compound ineffective. Drug discovery is a multidimensional problem requiring several parameters of both natural and synthetic compounds such as safety, pharmacokinetics and efficacy to be evaluated during drug candidate selection. The advent of latest technologies that enhance drug design hypotheses such as Artificial Intelligence, the use of ‘organ-on chip’ and microfluidics technologies, means that automation has become part of drug discovery. This has resulted in increased speed in drug discovery and evaluation of the safety, pharmacokinetics and efficacy of candidate compounds whilst allowing novel ways of drug design and synthesis based on natural compounds. Recent advances in analytical and computational techniques have opened new avenues to process complex natural products and to use their structures to derive new and innovative drugs. Indeed, we are in the era of computational molecular design, as applied to natural products. Predictive computational softwares have contributed to the discovery of molecular targets of natural products and their derivatives. In future the use of quantum computing, computational softwares and databases in modelling molecular interactions and predicting features and parameters needed for drug development, such as pharmacokinetic and pharmacodynamics, will result in few false positive leads in drug development. This review discusses plant-based natural product drug discovery and how innovative technologies play a role in next-generation drug discovery.
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2 retracted
Newmaster, S. G., Grguric, M., Shanmughanandhan, D., Ramalingam, S., & Ragupathy, S. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-222 · Cited by 484
RetractedThompson, K. A., & Newmaster, S. G. (2014) · Biodiversity and Conservation · doi:10.1007/s10531-014-0672-z · Cited by 39
RetractedLeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257
Genome-scale CRISPR-Cas9 knockout screening in human cells
Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., Heckl, D., Ebert, B. L., Root, D. E., Doench, J. G., et al. (2014) · Science · doi:10.1126/science.1247005 · Cited by 5,234
Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia
The Cancer Genome Atlas Research Network (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1301689 · Cited by 5,078
Faulkner, D. J. (1990) · Natural Product Reports · doi:10.1039/np9900700269 · Cited by 4,866
Natural products as sources of new drugs over the 30 years from 1981 to 2010
Newman, D. J., & Cragg, G. M. (2012) · Journal of Natural Products · doi:10.1021/np200906s · Cited by 4,687
ChEMBL: a large-scale bioactivity database for drug discovery
Gaulton, A., Bellis, L. J., Bento, A. P., Chambers, J., Davies, M., Hersey, A., Light, Y., McGlinchey, S., Michalovich, D., Al-Lazikani, B., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr777 · Cited by 4,382
Wani, M. C., Taylor, H. L., Wall, M. E., Coggon, P., & McPhail, A. T. (1971) · Journal of the American Chemical Society · doi:10.1021/ja00738a045 · Cited by 4,073
Cited by
Molecular Docking: Shifting Paradigms in Drug Discovery
Pinzi, L., & Rastelli, G. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184331 · Cited by 2,344
Plant-Derived Natural Products: A Source for Drug Discovery and Development
Chaachouay, N., & Zidane, L. (2024) · Drugs and Drug Candidates · doi:10.3390/ddc3010011 · Cited by 1,081
Pharmacological potential of ginseng and its major component ginsenosides
Ratan, Z. A., Haidere, M. F., Hong, Y. H., Park, S. H., Lee, J.-O., Lee, J., & Cho, J. Y. (2021) · Journal of Ginseng Research · doi:10.1016/j.jgr.2020.02.004 · Cited by 543
Chandran, H., Meena, M., Barupal, T., & Sharma, K. (2020) · Biotechnology Reports · doi:10.1016/j.btre.2020.e00450 · Cited by 462
An Overview of Drug Discovery and Development
Berdigaliyev, N., & Aljofan, M. (2020) · Future Medicinal Chemistry · doi:10.4155/fmc-2019-0307 · Cited by 396
Metadata
- Authors
- Thomford, N. E., Senthebane, D. A., Rowe, A., Munro, D., Seele, P., Maroyi, A., & Dzobo, K.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2018-05-25
- Volume
- 19
- Issue
- 6
- Pages
- 1578
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2803627340
- Cited by
- 1,241
- References
- 262
- FWCI
- 69.77
- Type
- journal article
- Language
- en
- Open access
- gold
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- Thomford, N. E., Senthebane, D. A., Rowe, A., Munro, D., Seele, P., Maroyi, A., & Dzobo, K. (2018). Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms19061578
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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