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Innovative Medicines & Omics Open source bioinformatics tools in Africa

trees to construct detailed phylogenetic maps of the used GROMACS to simulate the binding of rifapentine
outbreak. The insights went beyond revealing transmission derivatives to the enzyme, identifying compounds with
dynamics; they pinpointed mutation clusters within improved binding affinity and reduced resistance. This
Sierra Leone and Guinea. One major discovery was a approach has accelerated the development of new TB

transmission cluster linked to a single funeral event. This therapies, particularly for multidrug-resistant TB, which is
finding underscored the need for community-focused a major public health challenge in the region. 51
containment strategies, which are often overlooked in
the rush to control an outbreak. Similar phylogenetic 3.4.2. Binding free energy analysis
approaches, like those applied to SARS-CoV-2 strains from Binding free energy calculations, using methods such as
Senegal (Figure 2), demonstrate how open-access genomic molecular mechanics/Poisson–Boltzmann surface area,
data and tools can clarify transmission patterns and inform have enhanced the accuracy of drug-target interaction
public health decisions. predictions. In Africa, these analyses have been applied to
human immunodeficiency virus (HIV) drug development
3.3.2. Tracking malaria parasite evolution and antimalarial drug optimization.
Malaria remains a formidable adversary, especially with For HIV drug development, researchers in Kenya used
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rising drug resistance. Ndounga et al. mapped genetic binding free energy analysis to evaluate the interactions
variations in Plasmodium falciparum and identified between HIV protease inhibitors and their target
mutations linked to artemisinin resistance. Using tools proteins. By quantifying the binding strengths of various
such as randomized accelerated maximum likelihood compounds, they identified promising candidates for
(RAxML) and molecular evolutionary genetics analysis, further experimental testing. This approach has reduced
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they pinpointed critical mutations in the K13-propeller the time and cost of traditional drug screening methods,
domain. These markers are now central to treatment making it particularly valuable in resource-limited settings.
protocols in malaria-endemic regions such as Kenya
and Nigeria. Without this genetic research, we would be For antimalarial drug optimization, researchers in
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proceeding without crucial insights. Ghana used binding free energy analysis to optimize the
binding of dihydroartemisinin derivatives to the PfATP6
3.4. Drug discovery applications protein. The results guided the synthesis of new compounds
with improved efficacy and reduced toxicity, addressing
3.4.1. Molecular dynamics (MD) simulation in African
research the challenge of artemisinin resistance in malaria-endemic
regions. 53
MD simulations, facilitated by tools such as GROMACS
and Nanoscale MD (NAMD), have provided critical 3.4.3. Absorption, distribution, metabolism, excretion,
insights into the dynamic behavior of drug targets and and toxicity (ADMET) analysis in African contexts
their interactions with potential therapeutics. In Africa, ADMET analysis is critical in drug discovery, ensuring that
MD simulations have had a particularly significant impact potential drug candidates have favorable pharmacokinetic
on the following areas: malaria research and TB drug and safety profiles. Open-source tools like ADMET lab
discovery. have been widely adopted in Africa for various applications.
For malaria research, researchers in Uganda and Researchers in Tanzania used ADMET analysis to
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Nigeria have used MD simulations to study the PfATP6 screen a library of natural compounds derived from local
protein, a key drug target in P. falciparum, the parasite medicinal plants. By predicting the ADMET properties
responsible for malaria. By simulating the protein’s of these compounds, they identified several candidates
conformational changes, researchers identified binding with potential antimalarial and anti-TB activity. This
sites for artemisinin-based compounds, leading to the approach combines traditional knowledge with modern
development of more effective antimalarial drugs. For computational methods, providing a cost-effective strategy
example, a study in Uganda used MD simulations to for drug discovery. 54
optimize the binding of a traditional medicinal compound In Nigeria, ADMET analysis was used to evaluate
derived from Artemisia annua, resulting in a potential new the safety and efficacy of potential drugs for sickle cell
antimalarial drug candidate. 50 anemia. By predicting the toxicity profiles of hydroxyurea
Furthermore, MD simulations have been employed derivatives, researchers identified safer alternatives for
in South Africa to study the Mycobacterium tuberculosis long-term use, improving treatment options for patients in
DNA gyrase enzyme, a target for TB drugs. Researchers high-prevalence regions. 55

Volume 2 Issue 2 (2025) 56 doi: 10.36922/imo.8111