Published in the scientific magazine "Clinical Traditional Medicine and Pharmacology," the study analyzed the properties of Hypoxis hemerocallidea, known in several African countries as "African potato" and traditionally associated with strengthening the immune system.
The combination of traditional African knowledge and artificial intelligence (AI) is placing Mozambican researchers in the spotlight of international science. A study led by Lúrio University professor Laize Sílvia dos Anjos Botas Beca, in co-authorship with student Hamza Age Daudo, has gained academic recognition by exploring the potential of natural African compounds in combating HIV through advanced computational models.
Published in the scientific journal “Clinical Traditional Medicine and Pharmacology”, the study analyzed the properties of Hypoxis hemerocallidea, known in several African countries as “African potato” and traditionally associated with strengthening the immune system. Using machine learning techniques, the researchers sought to identify possible antiretroviral properties in the natural compounds extracted from the plant.
The research identified the compound Procyanidin A2 as a promising element for future research related to HIV. However, the authors clarify that the results do not represent the discovery of a cure or the replacement of currently used treatments. This is an initial phase, based on computational predictions, which still requires laboratory and clinical testing.
In statements released by UniLúrio, Laize Beca explained that the antiretroviral drug maraviroc continues to show better results in terms of molecular affinity. According to the researcher, the identified compound can serve as a starting point for the development of new, more effective molecules.
“The idea is to develop an efficient drug inspired by the wisdom of African tradition,” stated the professor, highlighting the need for further studies on molecular interactions, chemical behavior, and pharmacological safety.
The work stands out for the way it combines traditional African medicine, computational pharmacology, and artificial intelligence. This approach demonstrates that local knowledge can contribute to the advancement of modern science. In addition to valuing ancestral African knowledge, the study places Mozambican researchers in a highly competitive scientific field, where bioinformatics and artificial intelligence have accelerated the discovery of new drugs worldwide.
The research further reinforces the importance of investing in science produced in Africa, especially in areas capable of transforming natural resources and traditional knowledge into innovative solutions for public health.
By using artificial intelligence to analyze compounds used for generations by African communities, the authors show that tradition and innovation can go hand in hand. The work developed by Laize Beca and Hamza Daudo reveals not only the existing scientific capacity in Mozambique, but also a new way of thinking about and producing science in the country.
(By Rafael Langa)
