• Login
    View Item 
    •   UoN Digital Repository Home
    • Conference/ Workshop/ Seminar/ Proceedings
    • Faculty of Science & Technology (FST)
    • View Item
    •   UoN Digital Repository Home
    • Conference/ Workshop/ Seminar/ Proceedings
    • Faculty of Science & Technology (FST)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Antimalarial drug discovery through in silico scaffold hopping using a database of natural products of Kenya

    Thumbnail
    View/Open
    Abstract (46.07Kb)
    Date
    2015
    Author
    Rogo, O. Michael
    Oyim, James,
    Manyim, S,
    Ndakala, A lbert
    Derese, Solomon
    Type
    Presentation; en
    Language
    en
    Metadata
    Show full item record

    Abstract
    Despite the efforts to 'roll back malaria', statistics still shows that there are 97 countries and territories with ongoing malaria transmission, and 7 countries i n the prevention or reintroduction phase, making a total of 104 countries and territories in which malaria is presently considered endemic 4. Globally, an estimated 3.4 billion people are at risk of malaria. WHO estimates that 207 million cases of malaria occurred globally in 2012 and 627 000 deaths were registered. Of the cases (80%) and de aths (90%) occurred in Africa. The multi - drug resistance to the widely recommended and provided drug treatments (Chloroquine and Sulphadoxine - Pyrimethamine) across Asia , South America and Africa has prompted the use of Artemisinin - based combination treatments (ACTS) 1. This necessitates profiling of new antimalarial drugs that have low resistant strains towards P. falciparum. Strategic plans need to be put in place to di scover and develop novel antimalarial compounds that are not encumbered by pre - existing mechanisms of drug resistance to avoid ever - increasing toll of malaria on tropical areas 2 In this research, a computational approach is employed to identify suitable scaffolds form a database of natural products of Kenya (mitishamba.uonbi.ac.ke ) that can be used as alternative antimalarial drugs. Benzoxazine (Cappamensin A based on its similarity to Primaquine), Chromones (Abyssinone V, a promising compound) and Naph thoquinone (Lapachol) have been carefully chosen; with IC50 values of the isolated natural products serving as guiding values. Heavy computational techniques such as Generation of 3 - D molecular database, Virtual Screening, Calculation of probability assign ment curves 3, 2 - D and 3 - D similarity searches have been used to identify the natural products of prime focus. Compounds exhibiting high probability of being active based on the calculations have been synthesized and subjected to in vitro ass ay against PfD HODH enzyme
    URI
    http://www.napreca-tz.org/16napreca/16th_NAPRECA_Book_Abstracts.pdf
    http://hdl.handle.net/11295/92280
    Citation
    Rogo O. Michael , Oyim James, Manyim S, Ndakala A lbert and Derese Solomon (2015). Antimalarial drug discovery through in silico scaffold hopping using a database of natural products of Kenya. The 16th symposium of the natural products reseach network for eastern and central Africa (NAPRECA) 31st August to 3rd September 2015, pp.50. Arusha, Tanzania
    Publisher
    University of Nairobi
    Collections
    • Faculty of Science & Technology (FST) [853]

    Copyright © 2019 
    University of Nairobi Library
    | UoN Quality Policy | Send Feedback
     

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2019 
    University of Nairobi Library
    | UoN Quality Policy | Send Feedback