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SUMMARY:Accelerating South Africa’s indigenous knowledge systems for ant
 iviral drug discovery using computational modelling
DTSTART;VALUE=DATE-TIME:20231206T141000Z
DTEND;VALUE=DATE-TIME:20231206T143000Z
DTSTAMP;VALUE=DATE-TIME:20260608T121459Z
UID:indico-contribution-1906@events.chpc.ac.za
DESCRIPTION:Speakers: Tovhowani Ramulongo (CSIR)\nDescription: This is the
  review article on using computational modelling to accelerate the drug de
 velopment process for viral infections based on African indigenous medicin
 al plant species.\n\n\nBackground: Natural products or related drugs such 
 as botanicals or herbal medicines make up approximately 35% of the annual 
 global market\, followed by 25% from plants\, 13% from microorganisms and 
 3% from animal sources. The use of indigenous medicinal plant species used
  on traditional medicines has been used for centuries to treat viral infec
 tions. The constant growth of the human population and human interaction w
 ith the environment have led to several emerging and re-emerging RNA virus
 es responsible for diseases and pandemics. Considering the continuous spre
 ad of major viral pathogens as well as unpredictable viral outbreaks of em
 erging or reemerging viral strains\, it is essential to ensure preparednes
 s interventions to treat and manage yet another global health crisis.\n\nA
 im: The review article explores the potential application of computational
  modelling in identifying antiviral drugs informed by indigenous knowledge
  systems for future pandemic preparedness by the pharmaceutical industry.\
 n \nMethodology: The South Africa’ National Recordal System\, which has 
 been developed under the IKS Policy (2007)\, was used to identify the indi
 genous medicinal plant species used to treat respiratory diseases. The pla
 nts species\, Bulbine frutescens\, Cyclopia genistoides\, Harpagophytum pr
 ocumbens\, Kigelia Africana\, Siphonochilus aethopicus\, Sutherlandia frut
 escens\, Trichilia emetic\, Warburgia salutaris\, Xysmalobium undulatum Li
 ppia javanica were identified. A systemic review of these plant species wa
 s conducted using past literature papers.\n\nResults: From the literature\
 , most of these plants have been shown to exhibit a wide range of chemical
  compounds with potential health benefits as shown in in vitro and in vivo
  studies for inhibition of the Human Immunodeficiency virus (HIV). The use
  of the computational modelling in small molecule drug discovery will prof
 iciently accelerate the drug development process thereby impacting on the 
 pharmaceutical industry while ensuring benefit sharing arrangements are re
 leased with the communities in terms of the Nagoya Protocol on Access and 
 benefit sharing.\n\nhttps://events.chpc.ac.za/event/125/contributions/1906
 /
LOCATION:Skukuza 1-1-1+3 - Ingwe + Mhelembe
URL:https://events.chpc.ac.za/event/125/contributions/1906/
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