In January 2008 connectivity between the Research and Education Communities in Europe and Sub-Saharan Africa was established with a 1 Gbps between the UbuntuNet Alliance and GÉANT.
Botswana, Cameroon, Congo, Democratic Republic Of (Was Zaire) , Congo, People's Republic Of , Ethiopia, Kenya , Madagascar, Rwanda, Tanzania, United Republic Of, Uganda, Zimbabwe
Contact Persons
Prof Dibungi Kalenda
Main/Partner organisations
There are NAPRECA members in Botswana, Cameroon, Congo, Democratic Republic of Congo, Ethiopia, Kenya, Madagascar, Rwanda, Tanzania, Uganda and Zimbabwe
Contact Details
dibungikalenda@yahoo.com
Objectives and short summary of activities
To create a GIS (Geographic Information System) based Data Bank on medicinal plants of the DRC with information on chemical composition, structures of isolated substances, pharmacological data, bioactive extracts, ethno-pharmacology, ethno- botany, geographical coordinates of collected specimen, ecology of habitat, consumption by bonobos, chromatographic profiles of bioactive extracts (HPTLC, HPLC and GC profiles), IR-, MS- and NMR-spectra of pure compounds, data on bioactivity of extracts gained in “in vivo systems pathology and systems pharmacology”
Target/Beneficiary community
Technology used, standards and services employed
- With help of Grid Computing, establish a distributional correlation of well-defined groups of secondary phytoconstituents with existing plant classification systems and use it in the search for biologically active natural products
- With help of Grid Computing, predict where plants that are most likely to yield biologically active compounds can be found in the DRC as well as in otherNAPRECA member countries
- With help of Grid Computing and using ranking algorithms, speed up the in silico drug discovery from natural products (we are interested to use not only the structures of pure compounds on known biological targets, but also to test how data (and what types of data) gained on extracts can be used to predict their bioactivity on biologicalsystem
Research activities carried and out and scientific data generated
Principal outcomes and documentation (plus link to case studies)
The research has to contribute to the reduction of poverty, especially for the rural population and to the exploitation of the Congolese forests in a sustainable manner. It will contribute to speed up drug discovery from Congolese rain forests.
Other potential application areas/ actual spillovers