Recent work & publications
Boosting natural product drug discovery and peptide-based solutions against infectious diseases.
Data mining & statistical analysis unlocks hidden patterns from medium-large datasets (e.g., omics, patents, assays) to identify underexplored protein sequences, domain binding motifs, or underrepresented structures with therapeutical potentials.
Predictive models prioritise hit/lead discovery by forecasting key properties (e.g., stability, solubility, aggregation) or functions (e.g., antimicrobial activity, target binding affinity) to rank and triage candidates before costly wet-lab validation.
Generative models enable de novo design by creating novel small molecules or protein sequences optimised for multiple properties and functions, turning natural hits into potential high-quality leads.
Trusted by past and present collaborators
Our expertise and dedication have earned the trust of industry and academic leaders in natural product drug discovery and protein design globally.
