mABs
mABs
Structurally Informed Liability Analysis
Structurally Informed Liability Analysis
Identification of chemical liability sites (deamidation, oxidation, and isomerization), aggregation-prone patches, and problematic surface charges (positive, negative, and charge dipoles).
Identification of chemical liability sites (deamidation, oxidation, and isomerization), aggregation-prone patches, and problematic surface charges (positive, negative, and charge dipoles).
AI-assisted excipient preselection
AI-assisted excipient preselection
Expert Analysis
Expert Analysis
Data from liabilities, surface properties, and AI predictions are evaluated by our experienced scientists, in the context of the desired target product profile. Their deep expertise in formulation development ensures optimal interpretation of results and formulation strategy design.
Structurally Informed Liability AnalysisIdentification of chemical liability sites (deamidation, oxidation, and isomerization), aggregation-prone patches, and problematic surface charges (positive, negative, and charge dipoles).
Interested in how this can work for your molecule?
