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IJMS, Vol. 19, Pages 1578: Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery

IJMS, Vol. 19, Pages 1578: Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery

International Journal of Molecular Sciences doi: 10.3390/ijms19061578

Authors: Nicholas Ekow Thomford Dimakatso Alice Senthebane Arielle Rowe Daniella Munro Palesa Seele Alfred Maroyi Kevin Dzobo

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.

Authors:   Thomford, Nicholas Ekow; Senthebane, Dimakatso Alice; Rowe, Arielle ; Munro, Daniella ; Seele, Palesa ; Maroyi, Alfred ; Dzobo, Kevin
Journal:   International Journal of Molecular Sciences
Volume:   19
edition:   6
Year:   2018
Pages:   1578
DOI:   10.3390/ijms19061578
Publication date:   25-May-2018
Facts, background information, dossiers
  • medicine
  • drug design
  • diseases
  • pharmacodynamics
  • interactions
  • HIV
  • drugs
  • drug development
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