Science Meets
Intelligence
Bridging the gap between biochemical rigor and artificial intelligence to solve Africa's most complex health challenges.
Trusted Collaboration Network
Critical Research Vectors
Targeting the intersection of infectious pathology, genetic predisposition, and environmental factors in African populations.
Infectious Diseases
AI-driven optimization for Malaria & TB diagnostics. Leveraging data to predict outbreaks and resistance patterns.
- Pathogen Identification
- Resistance Prediction
Genetic Genomics
Precision medicine for Sickle Cell & Thalassemia. Mapping African genomic diversity to tailor effective therapies.
- Personalized Medicine
- Gene Editing Targets
Oncology
Novel glycoside agents for lung and cervical cancer. Reducing toxicity while enhancing bioavailability.
- Drug Discovery
- Clinical Protocols
Scientific Contributions
Pharmacokinetic, physicochemical and medicinal properties of n-glycoside anti-cancer agent more potent than 2-deoxy-d-glucose in lung cancer cells
This groundbreaking study presents a novel n-glycoside anti-cancer agent that demonstrates superior efficacy compared to 2-deoxy-d-glucose in lung cancer cell lines. Our research reveals significant improvements in pharmacokinetic properties and medicinal potential.
A clickable glutathione approach for identification of protein glutathionylation in response to glucose metabolism
We developed an innovative clickable glutathione approach that enables precise identification of protein glutathionylation in cellular responses to glucose metabolism.
Carbohydrate-based inducers of cellular stress for targeting cancer cells
This research introduces novel carbohydrate-based compounds that selectively induce cellular stress in cancer cells while sparing healthy tissue.
Anti-cancer agents and reactive oxygen species modulators that target cancer cell metabolism
This comprehensive review examines the role of reactive oxygen species modulators in cancer therapy, focusing on agents that specifically target altered metabolic pathways.
Revisiting cheminformatics and mechanisms of action of chloroquine and hydroxychloroquine in targeting COVID-19
During the COVID-19 pandemic, this timely research provided critical analysis of chloroquine and hydroxychloroquine mechanisms through advanced cheminformatics approaches.
The role of infections in the causation of cancer in Kenya
This important epidemiological study examines the relationship between infectious diseases and cancer development in Kenya, providing crucial data for understanding cancer etiology.
From African disease biology to ranked wet-lab candidates
Pawanax can extend its medical agents into a research workflow that helps scientists prioritize hypotheses, not replace them. The system links literature, molecular design, ADMET screening, and cohort-aware simulation into a traceable decision pipeline.
Target intelligence
Agents mine papers, patents, local epidemiology, and pathway databases to rank disease targets.
Molecule generation
Chemistry agents propose n-glycoside analogues and repurposing candidates with constraints.
ADMET screen
Toxicity, metabolism, solubility, and interaction checks remove weak candidates early.
Cohort simulation
Patient-simulation agents test hypotheses against African genomic and comorbidity patterns.
Lab handoff
Every shortlisted candidate ships with rationale, assay suggestions, and uncertainty notes.
Research stance: outputs are decision support for scientists and clinicians. Candidate molecules still require wet-lab validation, ethics review, clinical protocol design, and regulatory approval before patient use.