Target and disease logic
Prioritize diseases, targets, and mechanisms where Bangladesh can build a meaningful research foothold.
Bangladesh has strong pharma manufacturing capacity, but original small-molecule discovery remains largely absent. Chem2Cure aims to build the scientific habits, teams, and workflows needed to change that trajectory.
Discovery is not one tool or one assay. It is a disciplined loop between chemistry, biology, computation, pharmacology, safety, and decision making.
Prioritize diseases, targets, and mechanisms where Bangladesh can build a meaningful research foothold.
Use literature, patents, virtual screening, fragment thinking, and existing chemical matter to identify starting points.
Design analogs, build focused libraries, interpret activity, and connect molecular changes to biological response.
Introduce solubility, permeability, stability, selectivity, and early safety thinking before expensive failure.
Prepare the evidence package needed for partnerships, grants, and translational next steps.
Input: target structure, known ligands, disease context
Model: structure prediction, docking, affinity ranking, property filters
Chemist review: synthetic feasibility, novelty, SAR hypothesis
Output: prioritized molecules for purchase, synthesis, or collaboration
Chem2Cure introduces AI as an integrated research workflow: structure prediction, docking, library triage, property prediction, and literature intelligence. Every output still needs human medicinal chemistry judgment.
Dengue, emerging viral threats, and regionally relevant diseases where local need is high.
Capacity building around diagnosis, therapy discovery, and patient-centered translational research.
Skill transfer toward fragrances, food chemicals, agrochemicals, and higher-value chemical industries.
Training chemists for contract research, analytical documentation, and global partnership standards.