Homology-based in silico identification of putative protein-ligand interactions in the malaria parasite
Malaria is still one of the most proli c communicable diseases in the world with more than 200 million infections annually, its greatest e ect is felt in the poor nations with-in sub-saharan Africa and south-east Asia. It is especially fatal for women and children where out of the 660 000 fatalit...
Main Author: | Szolkiewicz, Michal Jerzy |
---|---|
Other Authors: | Joubert, Fourie |
Language: | en |
Published: |
University of Pretoria
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/2263/41019 Szolkiewicz, MJ 2014, Homology-based in silico identification of putative protein-ligand interactions in the malaria parasite, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/41019> |
Similar Items
-
Assessment of the significance of patent-derived information for the early identification of compound–target interaction hypotheses
by: Stefan Senger
Published: (2017-04-01) -
MetStabOn—Online Platform for Metabolic Stability Predictions
by: Sabina Podlewska, et al.
Published: (2018-03-01) -
Congenericity of Claimed Compounds in Patent Applications
by: Maria J. Falaguera, et al.
Published: (2021-08-01) -
An open source chemical structure curation pipeline using RDKit
by: A. Patrícia Bento, et al.
Published: (2020-09-01) -
How can SHAP values help to shape metabolic stability of chemical compounds?
by: Agnieszka Wojtuch, et al.
Published: (2021-09-01)