Therapeutic Molecule
Molecular size, polarity, charge, solubility, stability and biological sensitivity define the starting constraints.
Successful drug delivery depends on more than selecting a carrier. It requires an integrated understanding of the therapeutic molecule, the barriers it encounters, the formulation it enters and the attributes needed for translation.
Jinbosen Bio applies composition–structure–performance driven formulation development to examine how formulation composition and nanoscale organisation can influence stability, biological interaction and translational performance.
Molecular size, polarity, charge, solubility, stability and biological sensitivity define the starting constraints.
Enzymes, mucus, epithelial membranes, cellular uptake and intracellular trafficking may limit delivery.
Lipids, phospholipids, excipients and process strategy are selected and systematically evaluated.
Particle size, morphology, membrane organisation, surface properties and payload localisation are considered together.
Stability in biological environments, barrier interaction, cellular association, uptake and permeability are assessed as relevant.
Reproducibility, critical quality attributes, process robustness, scalability and storage stability inform development decisions.
The platforms below are not isolated service lines. Each applies the same barrier-led, composition–structure–performance approach to a different set of therapeutic and translational requirements.
Lipid nanoparticles, classical liposomes and phospholipid assemblies for nucleic acids, peptides, proteins and selected poorly soluble molecules.
Explore lipid delivery → 02EV isolation, purification, formulation, stabilisation and characterisation approached with attention to heterogeneity and reproducibility.
Explore EV technologies → 03Formulation strategies for macromolecules that must remain stable and interact appropriately with gastrointestinal, mucus and epithelial barriers.
Explore oral delivery →Relatively small changes in composition, molecular organisation or surface properties can influence nanoparticle behaviour. These relationships require systematic evaluation rather than single-attribute optimisation.
We can help frame a feasibility question, compare formulation approaches and define the evidence needed before a broader development programme.