Addressing infectious diseases in Africa by accelerating drug discovery through data science
Gemma Turon, Jason Hlozek, Miquel Duran-Frigola, Kelly Chibale, John G. Woodland

TL;DR
This paper explores how data science is helping African scientists tackle infectious diseases by accelerating drug discovery, despite limited resources and infrastructure.
Contribution
The paper highlights novel data science applications in Africa for drug discovery, emphasizing local innovation and impact.
Findings
Data science tools are enabling African researchers to identify new drug targets and predict drug-like molecules.
These approaches are improving clinical trial success rates and preparing for future disease threats.
Case studies demonstrate the growing impact of data science in addressing unmet medical needs on the continent.
Abstract
Despite being rich in natural resources and scientific talent, Africa continues to bear a staggering infectious disease burden. Historically, health innovation on the continent has relied on international funding and has been constrained by limited infrastructure and the emigration of skilled professionals. Data science tools offer a promising alternative, typically requiring fewer costly resources than traditional empirical research, with the potential to empower African scientists to generate tangible and impactful health solutions for the continent. Rapid progress in data science is expected to transform infectious disease research; thus, it is encouraging that numerous African initiatives are already applying data science tools to tackling pressing unmet medical needs, particularly in drug discovery. These efforts include identifying novel therapeutic targets, predicting drug-like…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenetics, Bioinformatics, and Biomedical Research · vaccines and immunoinformatics approaches · Viral Infections and Outbreaks Research
